#qgis guide

[myjondaleh]

Mastering QGIS Desktop 3.34 LTR: The Ultimate GIS Guide

English Video tutorial, just for $9.99 (NORMAL price $19.9). Get it once and you will get endless access right. Master QGIS Desktop 3.34 LTR with this step-by-step guide designed for GIS professionals and enthusiasts. Learn essential workflows, advanced mapping techniques, geoprocessing tools, and automation for powerful spatial data management. Elevate your GIS expertise today!

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Best Weekend Data Science Courses in London for Working Professionals

Balancing a full-time job while wanting to upskill can be a tough ask. For professionals in London eager to make a shift into tech—or advance their current roles—weekend data science courses offer the perfect solution. They are designed to fit into busy schedules without compromising on content quality, ensuring you don’t have to choose between your career and your education.

In this comprehensive guide, we’ll take a deep dive into the best weekend data science courses in London for working professionals, what you should look for in a program, and how such courses can act as a stepping stone toward roles in Artificial Intelligence, Machine Learning, and beyond.

Why Weekend Learning Makes Sense for Busy Professionals

Weekend data science education addresses the practical realities of modern professional life. Most working adults cannot commit to weekday classes without significant career disruption. Weekend programs acknowledge this constraint while maintaining rigorous academic standards. Students typically find Saturday and Sunday sessions allow for deeper focus without workplace distractions.

The concentrated nature of weekend learning often enhances retention and practical application. Students can immediately apply newly acquired concepts to their current roles, creating a feedback loop that reinforces learning. This real-world application distinguishes weekend programs from theoretical academic approaches that may lack immediate relevance.

Top-Tier Weekend Data Science Programs in London

Imperial College London Executive Education

Imperial College's weekend data science program stands among Europe's most prestigious offerings. Their Saturday intensives combine theoretical rigor with practical application, taught by faculty who actively research machine learning and artificial intelligence. The program spans twelve weekends, covering everything from statistical foundations to advanced neural networks.

Students appreciate Imperial's emphasis on real-world case studies drawn from finance, healthcare, and technology sectors. The curriculum includes hands-on projects using Python, R, and specialized data visualization tools. Imperial's industry connections ensure course content remains current with market demands.

London School of Economics Weekend Analytics Programme

LSE's reputation for social science excellence extends naturally into data analytics education. Their weekend program uniquely emphasizes the intersection between data science and business strategy. Students learn not just technical skills but also how to communicate insights effectively to senior management.

The curriculum balances statistical theory with practical business applications. Students work with real datasets from LSE's research partnerships, gaining experience with messy, imperfect data that mirrors professional environments. The program particularly excels in teaching data ethics and privacy considerations—increasingly crucial topics in today's regulatory environment.

University College London Centre for Advanced Spatial Analysis

UCL's weekend offerings focus specifically on spatial data science and geographic information systems. While specialized, these skills prove increasingly valuable across sectors from urban planning to retail analytics. The program attracts professionals from consulting, government, and technology companies seeking location-based analytical capabilities.

Students learn to work with satellite imagery, GPS data, and demographic information using specialized software like ArcGIS and QGIS. The curriculum includes machine learning applications for spatial data, a rapidly growing field with applications in autonomous vehicles, smart cities, and environmental monitoring.

Specialized Artificial Intelligence Courses for Weekend Learners

The growing importance of artificial intelligence has spawned numerous weekend programs dedicated specifically to AI applications. These courses typically assume some technical background but remain accessible to motivated professionals from non-technical fields.

King's College London AI for Business Leaders

King's weekend AI program targets senior professionals who need to understand artificial intelligence's strategic implications without necessarily implementing solutions themselves. The curriculum covers machine learning fundamentals, natural language processing, and computer vision applications across various industries.

Students particularly value sessions on AI ethics and bias mitigation. The program includes case studies from healthcare, finance, and retail sectors, demonstrating how AI transforms traditional business models. Guest speakers from leading AI companies provide insights into emerging trends and technologies.

Birkbeck College Applied Machine Learning

Birkbeck's evening and weekend college heritage makes them naturally suited for working professional education. Their applied machine learning program runs alternate Saturdays over six months, providing time for concept absorption between sessions.

The hands-on approach emphasizes practical implementation over theoretical derivations. Students work with popular frameworks like TensorFlow and PyTorch, building neural networks for image recognition, text analysis, and predictive modeling. The curriculum includes deployment considerations, helping students understand how to move from prototype to production systems.

Intensive Bootcamp Options for Rapid Skill Development

Several organizations offer intensive weekend bootcamps designed for rapid skill acquisition. These programs trade depth for breadth, providing survey-level exposure to multiple data science disciplines.

General Assembly Weekend Data Science Circuit

General Assembly's weekend circuit compresses their full-time bootcamp into Saturday-Sunday sessions over three months. Students cover Python programming, statistical analysis, machine learning, and data visualization in rapid succession.

The pace demands significant between-session study, but motivated students acquire practical skills quickly. GA's industry connections facilitate job placement support, though most weekend students seek skill enhancement rather than career changes.

Makers Academy Weekend Intensive

Makers Academy applies their coding bootcamp methodology to data science education. Weekend sessions emphasize collaborative learning and problem-solving over lecture-based instruction.

Students work in pairs and small groups, mirroring professional development environments. The curriculum emphasizes software engineering practices often overlooked in academic data science programs—version control, testing, and code documentation.

Choosing the Right Program for Your Career Goals

Selecting appropriate weekend data science education requires careful consideration of several factors. Career objectives should drive program selection more than institutional prestige or convenience factors.

Professionals seeking broad analytical literacy might prefer survey courses covering multiple disciplines. Those with specific technical needs—spatial analysis, natural language processing, or computer vision—benefit from specialized programs despite narrower scope.

Maximizing Weekend Learning Success

Success in weekend data science programs demands different strategies than traditional education. Time management becomes crucial when balancing course requirements with professional responsibilities.

Advance preparation often determines success. Students benefit from reviewing prerequisites before courses begin, ensuring they can focus on new concepts rather than catching up on fundamentals. Many programs provide recommended reading lists or online resources for advance study.

Active participation enhances learning outcomes significantly. Weekend formats typically encourage discussion and collaborative problem-solving. Students who engage actively with instructors and peers report better comprehension and stronger professional networks.

Financial Considerations and Return on Investment

Weekend data science education represents a significant financial investment, with quality programs ranging from £2,000 to £15,000 depending on duration and institutional prestige. However, the return on investment often justifies the expense through salary increases, promotions, or career transitions.

Many employers support professional development through training budgets or tuition reimbursement programs. Discussing weekend education plans with supervisors often reveals available funding sources while demonstrating initiative and commitment to professional growth.

Building Professional Networks Through Weekend Learning

Weekend data science programs attract motivated professionals from diverse industries, creating unique networking opportunities. Unlike undergraduate programs with homogeneous student bodies, weekend cohorts bring varied perspectives and experiences.

Class projects often benefit from this diversity, as students contribute domain expertise from their respective fields. Finance professionals understand regulatory constraints, healthcare workers grasp clinical workflows, and technology professionals appreciate implementation challenges.

The Future of Weekend Data Science Education

Weekend data science education continues evolving in response to technological advances and changing professional needs. Hybrid learning models combining in-person and online elements provide greater flexibility while maintaining interpersonal connections.

Emerging technologies like virtual reality and augmented reality promise enhanced learning experiences, particularly for complex visualization concepts. Interactive simulations may eventually replace traditional lecture formats, allowing students to experiment with algorithms and datasets in immersive environments.

Micro-credentials and digital badges increasingly provide granular skill verification, allowing professionals to demonstrate specific competencies rather than broad program completion. This trend particularly benefits weekend learners who may need targeted skills rather than comprehensive education.

Final Thoughts

Final Thoughts

If you’re a working professional in London, there’s never been a better time to invest in your future with a weekend data science course. The flexibility, practical learning, and career opportunities make it an ideal choice for those juggling work and ambition.

Whether you’re looking to gain a competitive edge in your current field or switch entirely to a data-driven role, the Data Science Courses in London listed above offer high-quality training tailored for busy professionals.

And if you also want to explore cutting-edge technologies like AI, consider enrolling in a program that combines both fields. The Artificial Intelligence Course in London offered by Boston Institute of Analytics is a stellar example—equipping you with skills that are not just relevant today, but also tomorrow.

[junimuchlismustafa]

Your Guide to Efficient GPS Data Management with QGIS 3 at UDEMY

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[distinguishedconnoisseurgarden]

QGIS Course: Get Job-Ready with Practical GIS Training

In today's data-driven world, Geographic Information Systems (GIS) have become a crucial part of urban planning, environmental monitoring, disaster management, and much more. QGIS (Quantum GIS), a free and open-source platform, empowers professionals and learners with tools to visualize, manage, and analyze spatial data. Whether you're a student, engineer, environmentalist, or a researcher, a QGIS course can open doors to exciting opportunities across various industries.

Why Learn QGIS?

QGIS has become a go-to tool for both beginners and professionals due to its ease of use, robust community support, and constant updates. Here's why enrolling in a QGIS course makes sense:

Open-source and free: No licensing fees, which makes it ideal for individuals and startups.

Highly versatile: Supports vector, raster, and database formats.

Advanced features: Includes georeferencing, spatial analysis, plugin support, and 3D mapping.

Cross-industry applications: Useful in fields like agriculture, geology, city planning, and more.

What You Will Learn in a QGIS Course:

A comprehensive QGIS training program typically includes:

Introduction to GIS and spatial data types

Navigating the QGIS interface

Creating and managing shapefiles and layers

Georeferencing scanned maps

Performing spatial queries and analysis

Using plugins for advanced mapping

Creating interactive web maps

Real-world project-based learning

Courses may be structured for absolute beginners, intermediate users, or even advanced professionals, depending on your goals.

Case Studies:

Case Study 1: Mapping Urban Green Spaces in Bengaluru, India

Objective: To identify, measure, and map green cover in different wards of Bengaluru city.

Tools Used: QGIS, OpenStreetMap, and Sentinel satellite imagery

Process:

Satellite images were imported into QGIS and overlaid with city ward boundaries.

NDVI (Normalized Difference Vegetation Index) analysis was conducted using raster tools.

Green cover was calculated per ward and visualized on a thematic map.

Outcome:

The project revealed that only 14% of the city had consistent green cover.

Results were used by the city council to propose urban tree plantation drives in low-green areas.

Case Study 2: Disaster Risk Mapping in Nepal

Objective: To create a hazard map for earthquake-prone zones in Nepal.

Tools Used: QGIS, GPS survey data, DEM (Digital Elevation Models)

Process:

Field data was collected from various rural regions and imported into QGIS.

Slope and elevation maps were generated using DEM.

Layers were overlaid to identify regions at highest seismic risk.

Outcome:

Local authorities used the map to guide future construction projects and implement early-warning systems in critical zones.

Case Study 3: Agricultural Monitoring in Punjab

Objective: To monitor cropping patterns and improve irrigation efficiency in Punjab’s agricultural belt.

Tools Used: QGIS, Landsat imagery, Field survey data

Process:

Crop classification was done using supervised classification in QGIS.

Raster and vector data were combined to assess changes in crop types over time.

A report was generated to identify areas with over-irrigation.

Outcome:

Farmers received recommendations for crop rotation and water conservation.

The project helped reduce water usage by 18% over two years.

Career Opportunities After a QGIS Course:

Completing a QGIS certification course can lead to a variety of career paths, such as:

GIS Analyst

Remote Sensing Specialist

Urban Planner

Environmental Consultant

Agricultural GIS Expert

GIS Developer

With QGIS being recognized globally, your skills are applicable not just in India, but around the world.

Conclusion:

A QGIS course equips you with essential skills to analyze spatial data, contribute to real-world projects, and build a rewarding career. From urban development to environmental sustainability, GIS professionals are in high demand — and QGIS is your gateway to entering this dynamic field.

[geospatialanalysissoftware]

Geospatial Analysis Software: How to Choose the Best One for You

Introduction

In today's data-driven world, geospatial analysis software is very important for businesses, researchers, and governments. If you are looking at changes in the environment, improving supply chain logistics, or studying population trends, choosing the right geospatial software can greatly impact on how well things work and your decision-making.

This guide will help you understand key things to consider when choosing geospatial analysis software. It will also show you a good choice: Exalogic's Geospatial Services.

What is Geospatial Analysis Software?

Geospatial analysis software helps people see, understand, and explain spatial data. It combines geographic information with tools to help groups make good decisions.

Why is Geospatial Analysis Important?

Better Decision Making – Companies can make choices based on location with high accuracy.

More Effectiveness – It automates how we handle location data, reducing manual work.

Improved Management – It helps industries make their operations better.

Risk Assessment – It predicts risks to the environment and issues in infrastructure.

Key Points to Think About in Geospatial Analysis Software

1. User-Friendly Interface

The software needs to be simple to use. It should help people view and understand data with little training.

2. Data Integration Capabilities

Look for software that can manage various types of data. This means it should work with GIS, CAD, remote sensing, and real-time data feeds.

3. Advanced Visualization Tools

Good mapping tools, 3D images, and interactive dashboards can make analysis and reporting better.

4. Scalability & Performance

Choose a software that can handle large data and grow as your organization gets bigger.

5. Cloud-Based vs. On-Premise Solutions

Cloud-Based – You can work from anywhere, and it updates on its own.

On-Premise – You get better security and can customize things to fit your needs.

6. AI and Machine Learning Integration

Modern software uses AI to look at future trends and find patterns by itself.

7. Cost & Licensing Options

Check if the software has subscription plans, one-time purchases, or business licenses.

Top Geospatial Analysis Software Options

1. ArcGIS

A well-known GIS software that has great mapping and space analysis tools.

2. QGIS

Open-source GIS software is great for anyone who wants affordable and customizable options.

3. Google Earth Engine

A cloud platform to study large environmental data.

4. Exalogic's Geospatial Services

Exalogic's Geospatial Services offer new solutions for businesses and groups that need live geospatial analysis. With AI insights and tools that can be adjusted, Exalogic helps different industries make better decisions and manage their spatial data more effectively.

Choosing the right geospatial software can be hard. There are many options, and each one offers different features. Start by deciding what you need the software to do. Think about the specific tasks or projects you will work on. After that, check the features of each option. See if it has the tools you need. It’s also important to consider how easy the software is to use. You want something that is simple to understand. Finally, look at the price. Make sure it fits your budget. Following these steps will help you find the best geospatial software for you.

Step 1: Define Your Requirements

Think about why you need the software. It may be for mapping, remote sensing, city planning, or business analysis.

Step 2: Evaluate Compatibility

Make sure the software fits well with your current systems. It should also work with how your data is set up.

Step 3: Consider User Support & Community

Pick software that offers strong technical help, helpful training tools, and a lively user group.

Step 4: Test a Demo or Free Trial

Many software solutions offer free trials. This allows you to test the features before you decide to commit.

Step 5: Review Pricing & Long-Term Costs

Think about licensing fees, training costs, and upgrades when you make your choice.

Conclusion

Picking the right geospatial analysis software can improve how you view and use spatial data. No matter if you are a large company, a government agency, or an individual researcher, it’s key to choose a tool that matches your needs. For a reliable and flexible geospatial solution, look at Exalogic's Geospatial Services. You can find new ways to study spatial data.

[data-science-courses-in-india]

Pursuing A Career In Geoinformatics: A Guide To MSc Geoinformatics Colleges In India

The field of Geoinformatics is gaining immense popularity as industries increasingly rely on spatial data and geographic information systems (GIS) for decision-making. From urban planning to environmental management, Geoinformatics plays a crucial role in multiple sectors. If you are looking for the best MSc Geoinformatics Colleges in India, this guide will help you understand the scope, opportunities, and educational paths available in this domain.

What Is Geoinformatics?

Geoinformatics is an interdisciplinary field that integrates geography, computer science, and data analysis to study spatial and geographic information. It involves technologies like remote sensing, GPS, and GIS, which are essential for analyzing and managing spatial data.

Why Pursue A Master’s In Geoinformatics?

A Master’s in Geoinformatics provides specialized knowledge in spatial data analysis, geospatial modeling, and remote sensing applications. Graduates with expertise in this field are highly sought after in industries such as urban planning, disaster management, environmental conservation, and defense.

Scope And Career Opportunities

The demand for geospatial experts is rapidly increasing. Some key career opportunities include:

GIS Analyst — Works with spatial data for mapping and analysis.

Remote Sensing Specialist — Uses satellite imagery for environmental and urban studies.

Urban Planner — Designs smart cities using geospatial data.

Disaster Management Expert — Utilises GIS for risk assessment and emergency response.

Researcher in Geoinformatics — Contributes to technological advancements in spatial analysis.

Top GIS Courses In India

Several institutions offer high-quality GIS Courses in India, equipping students with technical skills and industry knowledge. These courses cover advanced geospatial technologies, programming for GIS, and applications in various sectors. The curriculum typically includes hands-on training in software like ArcGIS, QGIS, and Google Earth Engine.

Choosing The Right MSc Geoinformatics Colleges In India

When selecting an institute, consider factors such as faculty expertise, research facilities, industry collaborations, and placement opportunities. Leading institutions provide state-of-the-art labs, practical exposure, and partnerships with global organizations to enhance learning experiences.

Conclusion

For those aspiring to build a strong career in Geoinformatics, Symbiosis Institute of Geoinformatics (SIG) stands out as one of the premier institutions in India. SIG offers comprehensive academic programs, cutting-edge research opportunities, and excellent industry exposure, making it an ideal choice for students pursuing a Master’s in Geoinformatics.

[davidjohnstongisschool]

Cartography and Mapping: Master the Art of Map Design

Maps have been an essential part of human civilization, guiding explorers, connecting societies, and visualizing the world. Cartography, the science and art of creating maps, is more than just plotting geographic data—it’s a creative process that combines precision, design, and storytelling. Whether you’re a seasoned professional or a curious novice, mastering the art of map design is an exciting journey into the world of cartography and mapping.

The Evolution of Cartography and Mapping

The history of cartography is as ancient as humanity’s curiosity about the world. From prehistoric cave paintings to sophisticated digital maps, the evolution of cartography reflects advancements in technology, science, and human understanding.

Early Maps:

The earliest known maps were etched on clay tablets or carved into rocks, representing local geography or celestial observations.

Ancient civilizations like the Babylonians, Greeks, and Chinese contributed to cartography, creating maps for navigation, agriculture, and astronomy.

Medieval Maps:

During the Middle Ages, maps were often symbolic, combining geographic information with religious or cultural narratives.

The creation of the mappa mundi (world maps) illustrated the medieval worldview, often centering Jerusalem or religious landmarks.

The Age of Exploration:

The 15th and 16th centuries marked significant progress, fueled by exploration and trade.

Cartographers like Gerardus Mercator developed projection systems to depict the spherical Earth on flat surfaces, revolutionizing navigation.

Modern and Digital Mapping:

The 20th and 21st centuries saw the emergence of aerial photography, satellite imagery, and Geographic Information Systems (GIS).

Today, maps are dynamic, interactive, and accessible through platforms like Google Maps, blending real-time data with advanced visualization techniques.

Principles of Effective Map Design

Designing a compelling map requires a balance of aesthetics, clarity, and functionality. Here are some essential principles to master the art of map design:

Purpose and Audience:

Define the purpose of your map. Is it for navigation, education, or storytelling?

Understand your audience’s needs and preferences to ensure the map is relevant and user-friendly.

Data Selection and Simplification:

Choose the right data for your map, focusing on what’s most relevant to the purpose.

Simplify complex data without sacrificing accuracy to enhance readability.

Map Elements:

Title: A concise, descriptive title sets the context for the map.

Legend: Provide a clear legend to explain symbols, colors, and scales.

Scale and North Arrow: Indicate distances and orientation for navigation.

Labels: Use consistent, legible typography for place names and annotations.

Color and Symbolism:

Use color to differentiate features, convey meaning, and create visual appeal.

Consider colorblind-friendly palettes to ensure accessibility.

Projection and Scale:

Choose an appropriate projection to minimize distortion based on the map’s purpose.

Select a scale that balances detail and coverage.

Hierarchy and Focus:

Emphasize key elements using size, color, or placement.

Maintain a visual hierarchy to guide the viewer’s attention.

Tools and Technologies in Modern Cartography

Modern cartography and mapping are powered by advanced tools and technologies, making it easier to create precise and engaging maps. Here are some popular tools for map design:

GIS Software:

Tools like ArcGIS, QGIS, and Mapbox allow users to analyze spatial data, create detailed maps, and visualize patterns.

Design Software:

Adobe Illustrator and Affinity Designer are ideal for customizing maps and adding artistic elements.

Online Mapping Platforms:

Platforms like Google Maps API and OpenStreetMap provide interactive mapping solutions for web applications.

Programming Languages:

Python, R, and JavaScript are commonly used for automating map creation, data analysis, and interactive design.

Remote Sensing and Drones:

Satellite imagery and drone technology enable high-resolution mapping and real-time updates.

Cartography as an Art Form

While cartography is rooted in science, it is also an artistic endeavor that blends creativity with technical skills. A beautifully designed map can tell a story, evoke emotions, and inspire curiosity. Here are some ways to embrace the artistic side of cartography:

Creative Map Styles:

Experiment with artistic styles, such as watercolor maps, vintage designs, or minimalist aesthetics.

Use thematic maps to highlight specific topics, like population density, climate change, or historical events.

Typography and Labeling:

Choose fonts that complement the map’s style and enhance readability.

Pay attention to label placement to avoid clutter and confusion.

Inspiration from Nature:

Study natural landscapes for inspiration, mimicking the textures, colors, and patterns found in the environment.

Storytelling Through Maps:

Combine maps with narratives, images, or interactive elements to create immersive experiences.

The Future of Cartography and Mapping

The field of cartography is constantly evolving, shaped by emerging technologies and changing societal needs. Here are some trends shaping the future of mapping:

Interactive and Immersive Maps:

Virtual Reality (VR) and Augmented Reality (AR) are transforming how we interact with maps, offering immersive experiences for navigation and exploration.

Big Data and AI:

Artificial intelligence and big data analytics are enhancing map accuracy, predictive modeling, and decision-making.

Sustainability and Environmental Mapping:

Maps are playing a crucial role in addressing environmental challenges, from tracking deforestation to monitoring climate change.

Personalized and Adaptive Maps:

Advances in machine learning enable maps to adapt to individual user preferences, providing tailored experiences.

Open Data and Collaboration:

The rise of open data initiatives and collaborative mapping projects, like OpenStreetMap, is democratizing access to geographic information.

Conclusion

Cartography and mapping are dynamic fields that combine science, art, and technology to represent and explore the world. By mastering the principles of map design, leveraging modern tools, and embracing creativity, you can create maps that inform, inspire, and engage. Whether you’re crafting a simple road map or an intricate thematic representation, the journey of mastering cartography is as rewarding as the maps themselves. So, pick up your tools, and start designing maps that leave a lasting impact on your audience.

[hydralisk98]

Nu Maybreak? (thread 16^12, article 0x27/?)

Previous article in the thread:

(What could I do to make some money on my own & prosper creatively?)

"Gygax75" content checklist (stage 1)

Physical notebook (writing notes, doodle sketches & draft ideas real fast)

Artistic pieces, printables & other self-fundraising deliverables (also to be used as media library and style guide to refer back to)

GLOSS personal wiki with QOwnNotes (as to modularize topics & shrink into MVP)

Inspiration reference document (multimedia moodboards including visual, audio, video, 3D... assets & components)

Cartoon pitch slideshow (with motivation, target audience, costs & all, must contain a few USPs and be easily digestible)

USPs: { GLOSS publishing & licensing ethics, insightfully grounded optimism, Lisp programming permeates this realmscape, advanced android clades living harmoniously side by side with biological lifeforms, mutual empowerment & worker themes, "Syndicalist Cooperatives" & "Harmonious World" rules, curiosity-driven mysticism worldview transparency + empathic humanism; }

Manifestation log & gratitude journal

Ebook self-published source

Audiobook / curated podcast?

Fiction novella / novel?

Theater show-piece?

Short animation films

Movie from textual corpus?

Original musical score album

Analog recorder-produced music album

Choice-thread addventure gamebook

Artbooks

Activitybooks / Workbooks

LGBTQ+ parables for kids (motivational stories)

History leaflets on "Syndicalism", "Georgism" & "Harmony" during the last centuries

Illustrated retro cartoon comics

Conlang copysheets & worksheets

Artist card deck of original character profiles

Character journals and tracker pages

TTRPG setting guidebook

TTRPG adventures

TTRPG homebrew custom rules, procedures, pregens & overall "baked" content

Foundry VTT modules

"Angora" video game gridmap revamp

Trial Engine 3D game + social ecosystem?

GPlates base tectonics refactor to put into GProjector

QGIS+OSM model

SVG toymaker actor system

Unity procedural social ecosystem toybox

Nu advanced dress-up chambers

LiSE linguistical simulations

Godot/Redot textual addventures -> 3D first person games

Trial Engine demos & animated recordings

KDE e.v. software ecosystem introduction

Instagram tutorial-esque storylet experiments

Either way, have fun with Emacs ORG-mode & Argdown!

Sights onto the far distant future? Dare to care & imagine better, don't forget to act your way towards such. After all, we were promised that better was within reach so may as well make it factual, as it should.

Now I shall go practice some mindfulness...

[paulward]

Understanding Geographic Information Systems: The Key to Spatial Analysis

In an increasingly interconnected world, where data is being generated at an unprecedented rate, the ability to analyze and interpret spatial information has become essential. Geographic Information Systems (GIS) is the technology that enables this analysis, providing a powerful framework for understanding spatial patterns, making decisions, and solving complex issues that affect our environment, society, and economy. This article delves into GIS, its importance, applications, and how it forms the foundation of spatial analysis.

What is Geographic Information Systems (GIS)?

Geographic Information Systems, or GIS, is a technology that combines data visualization, spatial analysis, and data management to capture, analyze, and present geographically referenced information. GIS software can integrate various types of data—ranging from physical characteristics like terrain to social factors like population density—onto maps, thus enabling users to understand patterns, relationships, and trends based on spatial location.

The Core Components of GIS

A Geographic Information System is made up of four primary components:

Data: The backbone of GIS is the data it uses. GIS data comes in two forms: spatial data, which represents the location and shape of geographic features, and attribute data, which provides additional information about these features (e.g., name, type, size).

Hardware: Computers and mobile devices are essential for GIS software to run effectively. High-performance systems can process large datasets and render complex maps more efficiently.

Software: GIS software includes tools for managing, analyzing, and visualizing data. Popular GIS platforms, like ArcGIS and QGIS, offer robust capabilities for handling diverse geographic data sources and performing a wide range of spatial analyses.

People: Trained personnel are essential in GIS as they interpret data, run analyses, and make sense of the information for real-world applications.

Procedures: These are the methods and workflows applied to make GIS effective for specific needs. They guide how data is collected, analyzed, and visualized.

How GIS Facilitates Spatial Analysis

Spatial analysis is the process of examining locations, attributes, and relationships of features in spatial data through overlaying and comparing different datasets. GIS facilitates this by allowing users to layer data sets and analyze them in a geographical context. Through spatial analysis, GIS helps identify patterns and trends that would be invisible in non-spatial data formats. For instance:

Overlay Analysis: By layering different data sets, such as weather patterns, land use, and population data, GIS can show correlations that support planning and policy-making.

Proximity Analysis: GIS allows users to analyze distances between features. For instance, it can help retail businesses find optimal store locations by analyzing population density and distance from competitors.

Network Analysis: GIS helps analyze connected data, such as roads and pathways, to solve routing problems, which is useful in urban planning and logistics.

Applications of GIS in Various Industries

1. Environmental Management

GIS plays a critical role in environmental conservation and natural resource management. By overlaying various environmental data layers (e.g., soil types, water quality, vegetation cover), researchers and policymakers can analyze ecosystem changes and determine areas that need protection. GIS also assists in predicting and mitigating natural disasters by mapping floodplains, wildfire risks, and hurricane paths.

2. Urban Planning

Urban planners rely heavily on GIS to analyze land use, manage transportation networks, and optimize the layout of cities. By mapping population distribution, economic activities, and infrastructure, GIS helps cities plan for future growth and ensure sustainable development. Moreover, GIS is used in site selection for public services, optimizing accessibility and reducing response times.

3. Public Health

GIS has become indispensable in public health, especially during disease outbreaks. By mapping the spread of diseases and analyzing their correlation with various factors (e.g., climate, socioeconomic conditions), GIS helps health officials identify high-risk areas and allocate resources efficiently. For example, during the COVID-19 pandemic, GIS played a pivotal role in tracking case distributions and visualizing hot spots to guide policy and response efforts.

4. Agriculture

GIS is instrumental in precision agriculture, a modern farming approach that uses technology to monitor and manage crops based on location-specific information. Farmers use GIS to analyze soil quality, water availability, and crop yield to make informed decisions that maximize output while minimizing resource use. GIS can also help in planning crop rotations, pest management, and sustainable irrigation practices.

5. Transportation and Logistics

In logistics, GIS optimizes route planning and fleet management, reducing fuel costs and delivery times. For example, delivery companies use GIS for mapping out the most efficient delivery routes and predicting delays caused by weather or traffic. In public transportation, GIS assists in designing efficient transit routes, locating stations, and planning schedules to serve urban populations better.

GIS and Remote Sensing: A Powerful Combination

Remote sensing, the process of collecting data about an area from a distance (usually via satellites or aerial imagery), is closely related to GIS. When integrated with GIS, remote sensing enhances spatial analysis capabilities by providing up-to-date images and data for large and inaccessible areas. This combination is particularly beneficial in applications like:

Land Use and Land Cover Analysis: Remote sensing data helps monitor changes in land cover, such as deforestation or urban expansion, over time. GIS then analyzes these changes to inform environmental policies and urban planning.

Disaster Management: Satellites provide critical information for natural disaster management. GIS can analyze this data to map out affected areas, prioritize relief efforts, and assess infrastructure damage.

Real-World Example: GIS for Climate Change Mitigation

One of the most pressing global challenges today is climate change, and GIS is pivotal in addressing this issue. By mapping data such as greenhouse gas emissions, temperature trends, and sea-level rise, GIS enables scientists and policymakers to visualize climate impacts on various regions. For example, GIS can be used to:

Model Sea-Level Rise: By overlaying elevation data with projected sea-level rise, GIS helps identify areas that could be submerged, enabling proactive adaptation measures in vulnerable coastal regions.

Track Carbon Emissions: GIS maps greenhouse gas emissions across different regions, helping to identify major sources of emissions and assess the effectiveness of mitigation strategies.

Support Renewable Energy Planning: GIS analyzes factors like wind patterns, solar exposure, and topography to locate optimal sites for renewable energy projects, such as wind farms and solar fields.

Challenges in Implementing GIS

While GIS offers vast potential, it also presents several challenges. These include:

Data Quality and Availability: High-quality, up-to-date data is essential for accurate GIS analysis, but data collection can be expensive and sometimes challenging to obtain for specific regions.

Technical Complexity: Using GIS requires specialized training and expertise, as the software and analysis processes can be complex.

Privacy Concerns: The ability of GIS to analyze human movement patterns raises privacy concerns. Balancing data utility with privacy rights is an ongoing challenge in GIS applications.

Cost: Advanced GIS software and high-resolution datasets can be costly, making GIS inaccessible to some organizations, particularly smaller or non-profit entities.

The Future of GIS and Spatial Analysis

The future of GIS lies in integration with cutting-edge technologies like artificial intelligence (AI) and machine learning. These technologies can enhance GIS by automating data processing, identifying patterns, and predicting outcomes with increased accuracy. For instance, AI-powered GIS applications are being developed for real-time monitoring of traffic, automated land use classification, and predictive disaster response.

Another emerging trend is the rise of mobile GIS applications, which allow users to collect and analyze data in the field. This mobility expands the reach of GIS to various industries and everyday users, enhancing real-time decision-making and data collection.

Furthermore, as the Internet of Things (IoT) grows, vast amounts of location-based data will become available, driving the demand for GIS analysis in smart cities, autonomous vehicles, and environmental monitoring.

Conclusion

Geographic Information Systems (GIS) is more than just a mapping tool; it is a powerful platform for spatial analysis that helps us understand complex relationships within data. By enabling location-based insights, GIS transforms data into actionable intelligence, driving decision-making in fields ranging from urban planning to environmental management. Despite its challenges, the potential of GIS to address real-world problems is immense, and as the technology continues to evolve, its applications will expand further, supporting sustainable development, public health, and disaster management.

In essence, GIS is a cornerstone of modern spatial analysis, providing the analytical tools necessary to tackle some of today’s most pressing challenges. As industries and governments recognize the value of geographic information, the role of GIS in shaping our future cannot be overstated.

[geone-ws]

Vector-to-Vector Digitizing in #QGIS

https://medium.com/@abdulquawiyyhardisir/vector-to-image-digitizing-a-step-by-step-guide-to-vector-data-registration-7584f4aa4d6c

[jjeremysstash]

I mean like y'all.... I get where you're coming from.

I'm not showing much love nor advocacy for linux at the moment because I only use it half of the time and I'm still discovering it. But damn...

My Windows 11 guide is for people like me who can't go pass Windows.

In uni and at work, I have to use specific programs.

I'm in archaeology and I specialise in the digital aspects of it. It means that I do GIS, databases, process LIDAR data, process topographic informations, but also there's stuff like using the Adobe suite for the drawings, publication, making posters and shit.

And like... I can't possibly come and say "hi, I decided to use inkscape instead of illustrator so now deal with a file that won't be read properly" to my fucking chief, now, can I? Like guys are already struggling with bugs between different updates of the same freaking program, they don't need to be added difficulties. And hell, considering their age and how they had to learn on the job how to use a computer ? They won't be learning a whole new program just because I don't want to use the other one.

So yeah, I know that for a good bunch of the programs I use there is an open source and linux version. But some others ? There aren't.

My line of work using those windows programs isn't even because they want to. It's because they have to.

Not only some programs are industry standards, but they can also be more efficient, or just the only one to exist. Like frankly we're out there using AutoCAD in archaeology, a shit that costs so much, and isn't even made for archaeology. AutoCAD is originally for architects and we have to add so many plugins and shit to make it properly usable for our work.

Archaeology is a mess of things. Our field is ultra specific but at the same time ultra wide.

We're also poor as fuck and share the same batch of the same version of a program around because of that. And we would love to switch to free and open source stuff. And heck, we did for some, like with QGIS. But we're also still live in capitalism, and we have to interact with many fields, and those other fields use other programs.

So yeah... We're stuck on windows.

I do love linux. It's fun, the layout can be vastly different and you have so many different versions and yet compatibility of programs. It demands less of your computer and you can control so much.

I do heavily recommend switching to linux. It can only do you good, albeit needing some work to get used to.

But I also know that there are other people like me who can't do the switch. And I know that those people will be as frustrated as me with what windows is fucking doing. And so if I can help them? Heck, I'll do it.

But don't come and drop shit like "just switch to linux" or "what are y'all still doing on windows". We're not talking about chrome vs firefox here. It's not as simple.

[myjondaleh]

Mastering QGIS Desktop 3.34 LTR: The Ultimate GIS Guide.

English Video tutorial, just for $9.99 (NORMAL price $19.9). Get it once and you will get endless access right.

Master QGIS Desktop 3.34 LTR with this step-by-step guide designed for GIS professionals and enthusiasts. Learn essential workflows, advanced mapping techniques, geoprocessing tools, and automation for powerful spatial data management. Elevate your GIS expertise today!

[polosofttechnologies]

Mapping Made Easy: Your Ultimate Guide to GIS Services

In today's digital age, geography is no longer just about paper maps and atlases. Geographic Information Systems (GIS) have revolutionized the way we understand and interact with spatial data. Whether you're a business owner, a government agency, or a curious individual, GIS services have the potential to transform the way you make decisions and gain insights. In this guide, we'll explore what GIS services are, their essential features, and how they can benefit you.

What Are GIS Services?

GIS services encompass a wide range of tools and technologies used to collect, manage, analyze, and visualize geographic data. They provide a powerful framework for capturing and organizing spatial information, allowing users to create maps and make data-driven decisions.

Essential Features of GIS Services

1. Data Collection

GIS services enable the collection of data from various sources, including satellite imagery, GPS devices, and surveys. This data can be used to create detailed maps and models.

2. Data Management

Effective data management is a core component of GIS services. They allow you to organize, store, and retrieve geographic information efficiently, ensuring data integrity and accessibility.

3. Spatial Analysis

One of the key strengths of GIS services is their ability to perform spatial analysis. This means you can answer complex questions by analyzing the relationships between different geographic features. For example, you can determine the best location for a new store based on demographics and existing competitors.

4. Visualization

GIS services offer robust visualization tools, allowing you to create maps that convey information clearly and effectively. You can customize map layers, colors, and symbols to represent data in a visually compelling way.

5. Collaboration

Many GIS services are cloud-based, facilitating collaboration among team members regardless of their physical location. This feature is especially valuable for businesses and organizations that require real-time data sharing and decision-making.

How Can GIS Services Benefit You?

1. Business Insights

For businesses, GIS services can provide valuable insights into market demographics, customer behavior, and location-based trends. This information can inform marketing strategies, site selection, and expansion plans.

2. Urban Planning

City planners and government agencies use GIS services to optimize urban development, transportation networks, and disaster management. GIS helps in making informed decisions about land use, infrastructure, and public services.

3. Environmental Conservation

GIS is a powerful tool for environmentalists and conservationists. It aids in monitoring and managing natural resources, tracking wildlife populations, and assessing the impact of climate change.

4. Emergency Response

During emergencies, such as natural disasters or public health crises, GIS services help responders make quick decisions by providing real-time data on affected areas, resources, and populations.

Getting Started with GIS Services

To harness the potential of GIS services, you'll need access to the right software and data sources. Many GIS tools are available, ranging from open-source options like QGIS to industry-standard software like Esri's ArcGIS.

Additionally, you can access geographic data from various government agencies and commercial providers. These datasets cover a wide range of topics, from topography and demographics to weather and transportation.

In conclusion, GIS services have transformed the way we interact with geographic data. They offer a wealth of opportunities for businesses, governments, researchers, and individuals to gain insights, make informed decisions, and solve complex problems. Whether you're looking to optimize your business operations, contribute to urban planning, or explore the world around you, GIS services are your gateway to mapping made easy.

[junimuchlismustafa]

Your Guide to Efficient GPS Data Management with QGIS 3 at UDEMY

Simplify your GPS surveys and mapping workflows with our step-by-step QGIS 3 tutorial. Master it in hours!

Discount 43% ($12.99 From $22.99)

[datarep]

The Tallest Rollercoaster in Each UN Recognized Country.

by  u/malxredleader

Sources: The Rollercoaster Database (rcdb.com), Coasterpedia, Wikipedia

Tools: Excel for Sorting, QGIS for Mapping

Notes: This is a map of the tallest rollercoasters (coasters) in each UN recognized country. Only operating coasters were considered for this map meaning that unbuilt/defunct coasters are not being considered. Mountain coasters are also not represented by this map due to most of them not being accurately measured for height and being built just off of the terrain. This map was made based on suggestions from my map on the tallest coasters in each US State. I will be the first to tell you that this could use a few improvements. I generally don't do world maps so this was a challenge but also a fun stepping stone to larger projects. As always, I'm open to your comments, suggestions and feedback so please let me know what you think! Hopefully the coaster enthusiasts can use this to their advantage as a guide to get a few more credits under their belt. Thank you for checking this out and stay awesome!

[ybohadi]

Manx Whale and Dolphin Watch Volunteer Opportunity

Marine Research and Outreach Assistant

Volunteer role

Manx Whale and Dolphin Watch is a charity based on the Isle of Man

dedicated to the conservation of cetaceans in Manx waters. We are

recruiting full-time volunteer Research and Outreach Assistants for the

2020 season. The placement runs for 6 months from 1st April until 1st

October and you must be available for the entire duration. This is a unique

opportunity to join our small but active team and become involved in all

areas of our research and outreach work, alongside running our Visitor's

Centre.

We have 5 regular species of cetacean in Manx waters *Phocoena phocoena,

Tursiops truncatus, Delphis delphis, Balaenoptera acutorostrata* and our

key species *Grampus griseus.* We have one of the largest inshore

populations of Grampus in Europe (and our waters are very shallow).

The majority of your time here will be split between five core activities:

land-based surveys, boat-based surveys, manning the visitor's centre,

office work, and public outreach events. You will be working alongside

MWDW's three operational staff and local volunteers on a rota of indoor

tasks and outdoor fieldwork. The placement offers a 50:50 balance of

research collection/analysis and public outreach.

Land and vessel-based surveys will take place when the weather and other

factors allow. Land-surveys can occur from first to last light for many

consecutive days. Vessel-based surveying is more dependent on weather and

we will not guarantee you a certain number of trips. You will, however,

have regular opportunities to conduct guiding on local tourist boats and

survey on board the government fisheries protection vessel.

The principal office activities you will participate in are data entry and

photo-identification analysis. QGIS is used to map sightings and you will

be taught how to use the software, should you not have prior experience.

Public outreach and awareness-raising is a key element of our work and we

run frequent public watch events through the summer. Although our primary

focus is on cetaceans, we will also see basking sharks and two species of

seal at these events. We also attend numerous small events such as

carnivals and fun-days with our travelling information stall.

We operate from our headquarters, The Manx Whale and Dolphin Visitor's

Centre, which is in the heart of Peel, attracting many locals and tourists.

We offer information about local species, recent sightings, how and where

to spot them, general cetacean facts and sell merchandise. The Young

Scientist's Area features a collection of locally found bones and offers

games and quizzes for the young enthusiast. Craft and educational workshops

for children will be organised for the summer months.

Another highlight of 2020 will be the running of the 2nd Manx Whale and

Dolphin Watch Show, which takes place in August. Andy Peters from the Whale

Workshop will be bringing several realistic and life-size models of marine

species over to the Island for display in a large venue in our capital

city. You will assist us with the organising, setting up and running of the

event. The 1st show in 2018 saw over 2,000 visitors through the doors over

one weekend.

As a volunteer for Manx Whale and Dolphin Watch, you will be spending the

summer in the tiny but beautiful ?city? of Peel, on the Isle of Man. Peel

is a fantastic place to live with two beaches, an impressive castle,

entertaining pubs and the chance of seeing basking sharks from the

breakwater.

We do not have a typical working week as we must take advantage of good

weather when it is available. You will be expected to work 5 days a week,

including most weekends.

Experience is not essential but a strong desire to further a career in

conservation, marine mammal science or environmental education is integral.

You will be managed and trained by 3 full time staff, but you are expected

to have a strong work ethic and be able to think proactively, learning from

the role and using your own initiative to develop new projects over the

course of the summer.

If you can bring a car, this would open much more flexibility in terms of

exploring the island and conducting surveys without a member of staff. Work

related fuel costs will be reimbursed.

You will be living in shared accommodation in the centre of Old Peel.

Accommodation is currently being finalised and is reasonably priced and

will not be more than ?75 per week. Local pub work in the evenings has been

a popular option for previous volunteers to help with living costs, and

this work can almost be guaranteed.

You can get to the Isle of Man easily from the UK or Ireland via the ferry (

Steam-Packet <https://www.steam-packet.com/>) or a flight to our airport

(Ronaldsway).

To apply, please email info@mwdw.net with a copy of your CV and a covering

letter explaining why you would like to come and volunteer with us.

Applications deadline is Sunday 16th February and telephone or video

interviews will be held week beginning 17th

Contact details: Jen Adams 07624 393496 info@mwdw.net www.mwdw.net