#GEOPROCESSING USING PYTHON

[distinguishedconnoisseurgarden]

QGIS Course: Unlock the Power of Open-Source GIS Software

Geographic Information System (GIS) has revolutionized the way we analyze spatial data, and QGIS stands as one of the most powerful open-source GIS software available today. Whether you are a beginner or an advanced user, enrolling in a QGIS course can significantly enhance your GIS skills. In this blog, we’ll explore the benefits of learning QGIS, what a typical course covers, and why it’s a must-have skill in various industries.

Why Learn QGIS?

QGIS is widely used for mapping, spatial analysis, and data visualization. Here’s why learning QGIS can be a game-changer for your career:

Open-Source & Free – Unlike other GIS software, QGIS is completely free, making it accessible to anyone.

User-Friendly Interface – Intuitive design and easy-to-use tools make it ideal for beginners.

Wide Industry Applications – From environmental science and urban planning to agriculture and disaster management, QGIS is utilized across various sectors.

Integration with Other Tools – QGIS supports various plugins and integrates with other GIS tools, enhancing its functionality.

What You Will Learn in a QGIS Course

A comprehensive QGIS course typically covers:

Introduction to GIS & QGIS – Basics of GIS, spatial data types, and an overview of QGIS.

Data Handling & Management – Importing, managing, and analyzing spatial datasets.

Cartography & Mapping – Creating maps with customized symbology and layouts.

Spatial Analysis – Buffering, overlay analysis, and geoprocessing techniques.

Advanced Tools & Plugins – Automation with Python (PyQGIS), 3D mapping, and raster data processing.

Real-World Projects – Hands-on exercises to apply learned skills in practical scenarios.

Who Should Enroll?

QGIS courses are beneficial for:

GIS professionals looking to enhance their expertise.

Researchers and students working with spatial data.

Urban planners, environmentalists, and government agencies.

Anyone interested in geospatial analysis and mapping.

Pie Chart: Industries Using QGIS

Environmental Service and Conservation: 30%

Urban & Regional Planning: 25%

Agriculture &  Forestry: 15%

Disaster Management: 10%

Transportation & Logistics: 10%

Others (Education, Health, etc.): 10%

Conclusion:

A QGIS course provides you with essential skills to navigate and manage GIS projects effectively. Whether you're a student aiming to enhance your academic research, a professional seeking to advance your career, or a GIS enthusiast exploring new opportunities, mastering QGIS can be a game-changer. This open-source software empowers you to visualize, analyze, and interpret spatial data with ease.

At BIMMANTRA Academy, we offer a comprehensive QGIS course designed to provide hands-on experience in geospatial mapping, data manipulation, and advanced GIS techniques. Our expert-led training ensures that you gain practical knowledge applicable to real-world GIS projects.

Don't miss the chance to upgrade your skill set—enroll with BIMMANTRA Academy today and unlock the full potential of geospatial technology.

[lata-singh]

ISRO Free Online Certification Courses of Geoprocessing using Python.  Today a huge number of satellite imagery and geospatial data gathered from various sources is obtained free of cost. Satellite imagery merged with the power of Geographic Information System (GIS) can be the best tool for helping environmental management, disaster risk management https://latasinghsblog.blogspot.com/2021/01/isro-free-online-certification-courses.html

[azaleakamellia]

Split by Attributes GP tool....when would you actually use this?

There are times when you're making a map but symbolizing using the symbology feature is not enough to characterize the data visually. Thus, having this tool makes cartographical work a little easier by generating copies of the original data, split into separate layers based on the attribute that we need. By doing this, it makes the task of adding the legend much easier in the layout as well.

Most often, when making maps for slide presentation, you would want to segregate data into separate layers with certain uniform values for a certain attribute and a create a new data layer which we can use over and over again.

Although definition query can help with visualizing and showing the features with the attribute value that we want, we may want to create a separate data to avoid compromising the original data or constantly repeating the task of typing/configuring the SQL commands.

This tool is valid for shapefiles and feature classes. Any other data types may need to be converted into those two formats before you can run it. Check out the long-winded demo below:

Since this tool is actually a Python script, it can be integrated into a code for batch geoprocessing or model for iteration over many data layers or interconnection to other tools; automation at its full-on glory! 😁

[harshkrsharma-blog]

Basics of Python Programming for GIS

Learn the basics of Python through video lectures and practice problems. Python is an easy to learn programming language with a wide variety of well-paying jobs in many fields, including data science, web development, and network programming. There couldn’t be a better time for you to join the world of Python! This course is introduced to enhance python programming for GIS. Python is selectively a better choice to start with GIS programming because it is used in both scripting and programming. At EdUnbox, there is full learning of Python scripting, how python code could be formulated as a Python IDE for the interaction with ArcGIS, either in the form of standalone script or a Python Script Tool. Post that you will be delving into the venture of using python programming functions and classes for geoprocessing along with the use of its modules for data access and mapping.

[quentinch-projects-blog]

KU Leuven - Introduction to geoprocessing - Urban Heat Island in the Greater London

From September to December 2021, I had the opportunity to attend Introduction to geoprocessing. The course aimed to provide a good introduction to Python programming language. The final exercise concerned the use of raster data to produce charts and maps about the thematic of the Urban heat Island concept.

Urban Heat Island is a climatic phenomenon happening in major cities where the massive urbanization provokes rise of temperatures. The objective was to translate the raster Data provide by Copernicus and display them in several ways to explain the concept. I chose the greater London, and the results shows a major increase in the temperature in the main centre.

Scholars explain the effect through several explanation. Buildings can absorb the heat regarding their materials, the lack of vegetation due to the need for housing, and the traffic who produce greenhouse gas enhancing the warming of the air.

[ukbooksdownload]

[Read] [Kindle] Python Scripting for Arcgis Pro By Paul A. Zandbergen

Get the best Books, Magazines & Comics in every genre including Action, Adventure, Anime, Manga, Children & Family, Classics, Comedies, Reference, Manuals, Drama, Foreign, Horror, Music, Romance, Sci-Fi, Fantasy, Sports and many more.

Python Scripting for Arcgis Pro

READ & DOWNLOAD Paul A. Zandbergen book Python Scripting for Arcgis Pro in PDF, EPub, Mobi, Kindle online. Free book, AudioBook, Reender Book Python Scripting for Arcgis Pro by Paul A. Zandbergen full book,full ebook full Download.

 √PDF √KINDLE √EBOOK √ONLINE

 Read Or Download Python Scripting for Arcgis Pro

 BOOK DETAILS :

 Author : Paul A. Zandbergen

Title : Python Scripting for Arcgis Pro

 Get book ====> Python Scripting for Arcgis Pro. Full supports all version of your device, includes PDF, ePub and Kindle version. All books format are mobile-friendly. Read and download online as many books as you like for personal use.

 The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not.Python Scripting for ArcGIS Pro starts with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial data in ArcGIS Pro. Learn how to execute geoprocessing tools, describe, create and update data, as well as execute a number of specialized tasks. See how to write simple, custom scripts that will automate your ArcGIS Pro workflows.Some of the key topics you will learn include:Python fundamentals Setting up a Python editor Automating geoprocessing tasks using ArcPy Exploring and manipulating spatial and tabular data Working with geometries using cursors Working with rasters and map algebra Map scripting Debugging and error handling Helpful "points to remember," key terms, and review questions are included at the end of each chapter to reinforce your understanding of Python. Corresponding data

 #bookish ,#kindleaddict ,#EpubForSale ,#bestbookreads ,#ebookworm ,#readyforit ,#downloadprint

 By click link in above! wish you have good luck and enjoy reading your book.

(Works on PC, Ipad, Android, iOS, Tablet, MAC)

[karonbill]

ArcGIS Desktop Professional 19-001 EADP19-001 Exam Questions

It is your chance to pass the EADP19-001 exam and become a ArcGIS Desktop Professional. You should consider using PassQuestion ArcGIS Desktop Professional 19-001 EADP19-001 Exam Questions that we are providing. To achieve success in the EADP19-001 exam, ArcGIS Desktop Professional 19-001 EADP19-001 Exam Questions are the most trustable and reliable source for preparation. Make sure to go through all the ArcGIS Desktop Professional 19-001 EADP19-001 Exam Questions that will help you prepare for the real exam. By using our ArcGIS Desktop Professional 19-001 EADP19-001 Exam Questions, you will be able to clear your EADP19-001 exam on the first attempt.

EADP19-001 Exam Overview - ArcGIS Desktop Professional 19-001

The ArcGIS Desktop Professional exam tests the candidate's experience applying ArcGIS concepts and processes to workflows. Qualified candidates should have four years of applied experience and should be proficient in best practices and uses of the ArcGIS Platform. Qualified candidates should demonstrate proficiency when applying advanced GIS concepts and knowledge to establish workflows, processes, troubleshooting non-routine issues, and be skilled at defining and successfully completing complex GIS projects.

Exam Details

Exam Code: EADP19-001 Exam Name: ArcGIS Desktop Professional 19-001 Number of Questions: 80 Duration: 120 minutes Type: Core Exam Format: Multiple Choice Exam Cost: $250 USD Exam Language: English

Exam ObjectivesData Storage 20%

Given requirements for a specific project, determine how to design a geodatabase

Select appropriate data formats for an intended use

Determine the data, settings, and parameters for creating a complex data set

Determine the data, settings, and parameters for creating an address locator

Data Management 29%

Given a scenario, convert and aggregate data to an appropriate format

Given a scenario, create a dataset with the necessary schema to support an operation

Determine the best workflow to resolve data alignment issues

Determine how to manage coordinate systems

Given a scenario, determine the method to create a surface dataset

Given a scenario, determine how to automate data management

Visualization & Sharing 27%

Use advanced cartographic techniques across the ArcGIS platform

Given a scenario, determine how to optimize rendering of maps across the platform

Given a scenario, determine how to create and render 2D and 3D scenes

Given a scenario, identify procedures to create and publish layers, maps, and apps

Given a scenario, determine the most effective process for sharing content

Given a scenario, determine how to automate visualization and sharing using ArcPy

Analysis & Geoprocessing 24%

Determine how to use Python to automate a process in ArcGIS

Determine how to create and edit ModelBuilder models to automate complex workflows

Given user requirements, determine the best way to share a geoprocessing model, script, package, or toolbox

Determine how to customize the ArcGIS Pro user interface

Determine how to author Tasks in ArcGIS Pro

Given a scenario, determine the workflow, data, tools, settings, and parameters to perform an analysis

View Online ArcGIS Desktop Professional 19-001 EADP19-001 Free Questions

An ArcGIS user is tasked with editing a layer containing a large number of features, using another layer that is in a different coordinate a system as reference. The user adds the layers in ArcMap and starts an edit session. A warning message about editing data in a different coordinate system is displayed. What is the most efficient way to edit the data to avoid potential distortion in the data? A.change the data frame's coordinate system to match the coordinate system of the layer being edited B.project the reference layer so the coordinate system matches with the one that needs to be edited C.georeference the reference layer and start a new edit session D.create a geodatabase topology with the two layers and add a rule so new data always snaps to thereference layer Answer : A

An ArcGiS user is working with a composite address locator that consists of the following: * Citywide Address Locator * Regional Address Locator * Nationwide Address Locator How does a composite address locator work if no selection criteria are specified? (Choose two) A.searches all locators in sequence B.searches the largest address locator first C.searches the smallest address locator first D.searches until an address is found E.searches the locator with the closest zone Answer : B, D

An ArcGIS user runs a geo processing tool and wants to create code in the Python window that repeats the process. In which two ways can the user generate Python code from the results window? (Choose two) A.copy a tool as Python snippet and paste it into the Python window B.copy an environment setting value into the Python window C.copy and paste messages to the Python window D.drag a previously executed tool to the Python window Answer : A, D

The ArcGIS user is given data for the Arctic and is asked to perform various types of analysis using the dat a. The data extends from the North Pole south to 70 degrees North Latitude Data layers may contain points lines, or polygons, and include ice surveys from NOAA depth contours: continental margins, locations of known and suspected oil reserves, endangered species habitat, and territorial boundaries for nations having Arctic coastline. Which map projection should be used for the data to allow the most accurate buffering of those areas, in order to comply with the U.S court decision that ships may not approach closer than 20 nautical miles to a seal rookery? A.azimuthai equidistant B.polar stereographic C.gnomonic D.Lambert azimuthal Answer : C

An ArcGIS user wants to create a hierarchy and differentiate cities on a map by categorizing the way the features are labeled. What should be used to achieve the desired result? A.label expressions B.label classes C.label stacking D.label priority Answer : B

An ArcGIS user requests polygon parcel data to use in a model linking geoprocessing tools. The data the user receives covets the entire country and the large dataset causes the application to perform slowly. How can the ArcGIS user improve the performance time without altering the model? A.use a standalone variable In the model to set the area of Interest B.convert the data to a Simple data type before using geoprocessing tools C.increase the memory allotted to ArcMap while the tools running D.limit the processing extent through the environment settings Answer : C

[monde-geospatial]

Geoprocessing using Python- Introduction of ArcPy in ArcGIS Pro Geoprocessing using Python- Introduction of ArcPy in ArcGIS Pro

[bicorner]

The Best New Geospatial Data Science Libraries In 2019

The Best New Geospatial Data Science Libraries In 2019 #BI #Analytics #BigData #DataScience

As a Geospatial data scientist, 2019 brought some new tools that made my life easier. In this post, I am sharing the best of these new additions in the Python ecosystem and some resources to get you started.

You will find tools that accelerate your Geospatial data science pipelines using GPU, advanced Geospatial Visualization tools and some simple, useful Geoprocessing tools. I hope you will find…

[timobook]

Programming ArcGIS 10.1 with Python Cookbook

Programming ArcGIS 10.1 with Python Cookbook: Over 75 recipes to help you automate geoprocessing tasks, create solutions, and solve problems for ArcGIS with Python Download Introduction ArcGIS is an industry-standard geographic information system from ESRI. This book will show you how to use the Python programming language to create geoprocessing scripts, tools, and shortcuts for the ArcGIS Desktop environment. This book will make you a more effective and efficient GIS professional, by showing you how to use the Python programming language with ArcGIS Desktop to automate geoprocessing tasks, manage map documents and layers, find and fix broken data links, edit data in feature classes and tables, and much more. Programming ArcGIS 10.1 with Python Cookbook starts by covering fundamental Python programming concepts in an ArcGIS Desktop context. Using a how-to instruction style, you'll then learn how to use Python to automate common important ArcGIS geoprocessing tasks. In this book, you will also cover specific ArcGIS scripting topics that will help save you time and effort when working with ArcGIS. Topics include managing map document files, automating map production and printing, finding and fixing broken data sources, creating custom geoprocessing tools, and working with feature classes and tables, among others. In Programming ArcGIS 10.1 with Python Cookbook, you'll learn how to write geoprocessing scripts using a pragmatic approach designed around accomplishing specific tasks in a cookbook style format. What this book covers Chapter 1, Fundamentals of the Python Language for ArcGIS, will cover many of the basic language constructs found in Python. Initially, you'll learn how to create new Python scripts or edit existing scripts. From there, you'll get into language features, such as adding comments to your code, variables, and the built-in typing systems that makes coding with Python easy and compact. Furthermore, we'll look at the various built-in data-types that Python offers, such as strings, numbers, lists, and dictionaries. In addition to this, we'll cover statements, including decision support and looping structures for making decisions in your code and/or looping through a code block multiple times. Chapter 2, Writing Basic Geoprocessing Scripts with ArcPy, will teach the basic concepts of the ArcPy Python site package for ArcGIS, including an overview of the basic modules, functions, and classes. The reader will be able write a geoprocessing script using ArcPy with Python. Chapter 3, Managing Map Documents and Layers, will use the Arcpy Mapping module to manage map document and layer files. You will learn how to add and remove geographic layers from map document files, insert layers into data frames, and move layers around within the map document. The reader will also learn how to update layer properties and symbology. Chapter 4, Finding and Fixing Broken Data Links, will teach how to generate a list of broken data sources in a map document file and apply various Arcpy Mapping functions to fix these data sources. The reader will learn how to automate the process of fixing data sources across many map documents. Chapter 5, Automating Map Production and Printing, will teach how to automate the process of creating production-quality maps. These maps can then be printed, exported to image file formats, or exported to PDF files for inclusion in map books. Chapter 6, Executing Geoprocessing Tools from Scripts, will teach how to write scripts that access and run geoprocessing tools provided by ArcGIS. Chapter 7, Creating Custom Geoprocessing Tools, will teach how to create custom geoprocessing tools that can be added to ArcGIS and shared with other users. Custom geoprocessing tools are attached to a Python script that process or analyze geographic data in some way. Chapter 8, Querying and Selecting Data, will teach how to execute the Select by Attribute and Select by Location geoprocessing tools from a script to select features and records. The reader will learn how to construct queries that supply an optional where clause for the Select by Attribute tool. The use of feature layers and table views as temporary datasets will also be covered. Chapter 9, Using the ArcPy Data Access Module to Select, Insert, and Update Geographic Data and Tables, will teach how to create geoprocessing scripts that select, insert, or update data from geographic data layers and tables. With the new ArcGIS 10.1 Data Access module, geoprocessing scripts can create in-memory tables of data, called cursors, from feature classes and tables. The reader will learn how to create various types of cursors including search, insert, and update Chapter 10, Listing and Describing GIS Data, will teach how to obtain descriptive information about geographic datasets through the use of the Arcpy Describe function. As the first step in a multi-step process, geoprocessing scripts frequently require that a list of geographic data be generated followed by various geoprocessing operations that can be run against these datasets. Chapter 11, Customizing the ArcGIS Interface with Add-Ins, will teach how to customize the ArcGIS interface through the creation of Python add-ins. Add-ins provide a way of adding user interface items to ArcGIS Desktop through a modular code base designed to perform specific actions. Interface components can include buttons, tools, toolbars, menus, combo boxes, tool palettes, and application extensions. Add-ins are created using Python scripts and an XML file that define how the user interface should appear. Chapter 12, Error Handling and Troubleshooting, will teach how to gracefully handle errors and exceptions as they occur while a geoprocessing script is executing. Arcpy and Python errors can be trapped with the Python try/except structure and handled accordingly. Appendix A, Automating Python Scripts, will teach how to schedule geoprocessing scripts to run at a prescribed time. Many geoprocessing scripts take a long time to fully execute and need to be scheduled to run during non-working hours on a regular basis. The reader will learn how to create batch file containing geoprocessing scripts and execute these at a prescribed time. Appendix B, Five Things Every GIS Programmer Should Know How to Do with Python, will teach how to write scripts that perform various general purpose tasks with Python. Tasks, such as reading and writing delimited text files, sending e-mails, interacting with FTP servers, creating ZIP files, and reading and writing JSON and XML files are common. Every GIS programmer should know how to write Python scripts that incorporate this functionality What you need for this book To complete the exercises in this book, you will need to have installed ArcGIS Desktop 10.1 at either the Basic, Standard, or Advanced license level. Installing ArcGIS Desktop 10.1 will also install Python 2.7 along with the IDLE Python code editor. Who this book is for Programming ArcGIS 10.1 with Python Cookbook is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Whether you are new to ArcGIS or a seasoned professional, you almost certainly spend time each day performing various geoprocessing tasks. This book will teach you how to use the Python programming language to automate these geoprocessing tasks and make you a more efficient and effective GIS professional. Via TimoBook

[geone-ws]

Video: “Geoprocessing using Python – Introduction of ArcPy in ArcGIS Pro”

https://www.youtube.com/watch?v=1Z5XGbBT4Yw

[mrrolandtfranco]

What’s New with Soil Data in the Living Atlas?

All SSURGO-based Living Atlas items upgraded to the 2017 SSURGO snapshot

New map image and 21 image layers with improved performance

New tile layer for use with the map image layer in web maps at small scales

New downloader application – provides faster access to the attributes you need

The Soil Survey Geographic Database (SSURGO) produced by the Natural Resources Conservation Service (NRCS) provides a valuable resource with 36 million mapped soil units, dozens of attribute tables, and an extent that includes the 48 contiguous United States, Hawaii, portions of Alaska, Puerto Rico, the US Virgin Islands, and 6 US territories and associated states.

Maps and reports derived from SSURGO are available through NRCS’s Web Soil Survey application and state level bundles of SSURGO data are available through the NRCS’s Geospatial Data Gateway.

To complement these resources and help bring this powerful dataset to the ArcGIS platform, Esri has created several information products that are available through the Living Atlas. For a quick review of available soil mapping resources see the Living Atlas for Soils story map.

Map image layer – USA Soils Map Units – What’s new?

Improved performance

Updated to 2017 data

Increased Scale Range

New Tile Layer

The USA Soils Map Units layer provides a map of approximately 36 million detailed polygons and over 150 useful attributes. It is preconfigured with a custom pop-up. The map service is combined with a tile layer in the USA Soils Map Unit web map resulting in a map that draws quickly across the full range of scales.

Imagery layers – What’s new?

All 21 soil imagery layers updated to 2017 version of SSURGO

Improved symbology and legends for many layers

Multiple levels of classification added to USA Soils Farmland Class and USA Soils Hydric Class

USA Crop Production updated to NCCPI v2.0

We have updated all 21 of our SSURGO-based imagery layers with 2017 data. These layers are ready to use in your analyses and can be used as inputs to geoprocessing tools, model builder and Python scripts. The Living Atlas for Soils story map provides an overview of the collection or you can navigate directly to the layers in the Living Atlas.

The imagery layers include Soil Hydrologic Group:

Farmland Class:

Hydric Soils:

Crop Production:

Downloader

We recently updated the SSURGO downloader. For more information, read What’s new with the SSURGO Downloader.

from ArcGIS Blog http://ift.tt/2ADNJwf

[americajobs]

[Full-time] GIS Solution Architect at raghu

Location: Texas URL: http://www.jobisite.com Description:

Need: GIS Solution Architect Location:  FortWorth, TX Duration: 6+Months   Mandatory Skills               GIS with Linear Search                 Detailed Job Description: ?             Actively participate in Planning sessions with business team in understanding detailed requirement ?             Design, Articulate and discuss in detail, the solution based on the requirement ?             Work with the team (onsite + offshore) and ensure timely deliverables are addressed with high quality ?             Design, edit and maintain geospatial datasets and databases leveraging ArcGIS for Desktop ?             Create and maintain process automation related to data maintenance ?             Work with linear referenced GIS data ?             Adhere to data governance standards ?             Work in multi-user, versioned geodatabase ?             Prepare and execute workflows, ETL and geoprocessing models using Python ?             Prepare and execute workflows and geoprocessing models using ArcGIS ModelBuilder   Reference : GIS Solution Architect jobs

Apply to this job from America-Jobs.Net http://america-jobs.net/job/75764/gis-solution-architect-at-raghu/