#PySAL

[damilola-doodles]

📌Project Title: Integrated Geo-Spatiotemporal Epidemiological Surveillance and Forecasting System. 🔴

ai-ml-ds-geoepi-forecast-002 Filename: geo_spatiotemporal_epidemiological_surveillance_forecasting.py Timestamp: Mon Jun 02 2025 19:06:02 GMT+0000 (Coordinated Universal Time) Problem Domain:Public Health Informatics, Epidemiology, Geospatial Data Science, Time Series Forecasting. Project Description:This project develops a sophisticated system for monitoring and forecasting infectious…

[dammyanimation]

📌Project Title: Integrated Geo-Spatiotemporal Epidemiological Surveillance and Forecasting System. 🔴

ai-ml-ds-geoepi-forecast-002 Filename: geo_spatiotemporal_epidemiological_surveillance_forecasting.py Timestamp: Mon Jun 02 2025 19:06:02 GMT+0000 (Coordinated Universal Time) Problem Domain:Public Health Informatics, Epidemiology, Geospatial Data Science, Time Series Forecasting. Project Description:This project develops a sophisticated system for monitoring and forecasting infectious…

[damilola-ai-automation]

📌Project Title: Integrated Geo-Spatiotemporal Epidemiological Surveillance and Forecasting System. 🔴

ai-ml-ds-geoepi-forecast-002 Filename: geo_spatiotemporal_epidemiological_surveillance_forecasting.py Timestamp: Mon Jun 02 2025 19:06:02 GMT+0000 (Coordinated Universal Time) Problem Domain:Public Health Informatics, Epidemiology, Geospatial Data Science, Time Series Forecasting. Project Description:This project develops a sophisticated system for monitoring and forecasting infectious…

[damilola-warrior-mindset]

📌Project Title: Integrated Geo-Spatiotemporal Epidemiological Surveillance and Forecasting System. 🔴

ai-ml-ds-geoepi-forecast-002 Filename: geo_spatiotemporal_epidemiological_surveillance_forecasting.py Timestamp: Mon Jun 02 2025 19:06:02 GMT+0000 (Coordinated Universal Time) Problem Domain:Public Health Informatics, Epidemiology, Geospatial Data Science, Time Series Forecasting. Project Description:This project develops a sophisticated system for monitoring and forecasting infectious…

[damilola-moyo]

📌Project Title: Integrated Geo-Spatiotemporal Epidemiological Surveillance and Forecasting System. 🔴

ai-ml-ds-geoepi-forecast-002 Filename: geo_spatiotemporal_epidemiological_surveillance_forecasting.py Timestamp: Mon Jun 02 2025 19:06:02 GMT+0000 (Coordinated Universal Time) Problem Domain:Public Health Informatics, Epidemiology, Geospatial Data Science, Time Series Forecasting. Project Description:This project develops a sophisticated system for monitoring and forecasting infectious…

[arutai]

Soma Pysall by Stefan Klüter

[dystopianscifiarchitecture]

Deutsche Bundesbank office building, Hamburg, Germany, 1985, architects H Westermann & HJ Pysal

© picture by Klaas Vermaas

[codingprolab]

CSE578 Assignment 5

In this assignment, you will be using a database of geographic data for you in the PySal library to create two plots, a choropleth map and a proportional symbol map. In addition to these two plots, you will compute the value of Moran’s I for this data. Dataset The United States’ lower 48 states. In addition to the state­by­state data, the dataset contains shape files for each state that you can…

[davidjohnstongisschool]

Top Tools and Techniques for Effective Geospatial Analysis

Geospatial analysis is the process of examining geographic data to uncover patterns, relationships, and trends. It plays a pivotal role across industries such as urban planning, environmental management, transportation, and marketing. By leveraging geospatial analysis, businesses and governments can make informed decisions backed by spatial insights.

In this blog, we’ll explore the top tools and techniques for effective geospatial analysis. Whether you're a beginner or an experienced professional, this guide will help you choose the right resources to enhance your geospatial capabilities.

What is Geospatial Analysis?

Geospatial analysis involves processing and analyzing geographic data—data tied to a specific location. This could be coordinates, addresses, or geographic boundaries. By visualizing and interpreting this data, organizations can:

Identify spatial patterns and trends.

Solve location-based challenges.

Make data-driven decisions.

Key Tools for Geospatial Analysis

1. Geographic Information Systems (GIS)

GIS tools are foundational for geospatial analysis. They allow users to visualize, manage, and analyze geographic data in layers, offering insights into spatial relationships.

Popular GIS Tools:

ArcGIS: A comprehensive platform by Esri, ArcGIS is widely used for mapping, spatial analysis, and data visualization. Its robust features include 3D mapping, predictive modeling, and integration with big data.

QGIS: An open-source alternative to ArcGIS, QGIS is free and highly customizable. It supports plugins for advanced spatial analysis and is ideal for those on a budget.

MapInfo Pro: Known for its user-friendly interface, MapInfo Pro is often used for business applications like market analysis and asset management.

2. Remote Sensing Software

Remote sensing tools analyze satellite or aerial imagery to gather data about the Earth's surface. This is particularly useful for environmental monitoring, agriculture, and urban development.

Popular Remote Sensing Tools:

Google Earth Engine: A cloud-based platform for analyzing geospatial data on a massive scale. It's widely used for environmental research and disaster response.

ENVI: Ideal for processing satellite and aerial imagery, ENVI offers advanced capabilities like spectral analysis and machine learning integration.

3. Spatial Data Visualization Tools

Visualization tools transform raw spatial data into intuitive maps and graphics, making it easier to communicate findings.

Popular Visualization Tools:

Tableau: Known for its ease of use, Tableau integrates geospatial data to create interactive visualizations.

Kepler.gl: An open-source tool designed for large-scale geospatial data visualization, offering features like heatmaps and time-based animations.

Carto: A cloud-based platform for spatial data analysis and visualization, Carto is particularly popular for business intelligence applications.

4. Programming Languages for Spatial Analysis

Programming languages like Python and R have libraries and packages specifically designed for geospatial analysis.

Key Libraries and Frameworks:

Python (Geopandas, Shapely, Folium, PySAL): Python’s libraries enable everything from data manipulation to advanced spatial statistics and web mapping.

R (sf, raster, tmap): R offers powerful tools for statistical modeling and spatial data visualization.

5. Geospatial Databases

Geospatial databases store and query spatial data efficiently. They are essential for handling large datasets and ensuring seamless analysis.

Popular Geospatial Databases:

PostGIS: An extension of PostgreSQL, PostGIS is widely used for storing and querying geographic objects.

SpatiaLite: A lightweight alternative to PostGIS, ideal for smaller projects.

MongoDB with GeoJSON: MongoDB supports geospatial indexing and queries using GeoJSON, making it suitable for web-based applications.

Top Techniques for Geospatial Analysis

1. Spatial Interpolation

Spatial interpolation estimates values at unsampled locations based on known data points. It’s widely used in meteorology, agriculture, and environmental science.

Common Methods:

Kriging

Inverse Distance Weighting (IDW)

Spline Interpolation

2. Hot Spot Analysis

Hot spot analysis identifies areas of statistically significant clustering. This is especially useful in crime analysis, disease tracking, and market research.

Tools for Hot Spot Analysis:

ArcGIS Spatial Statistics Toolbox

Python's PySAL library

3. Network Analysis

Network analysis examines the connectivity and flow within spatial networks, such as transportation systems or utility grids.

Applications:

Shortest path analysis for navigation systems.

Optimization of delivery routes for logistics.

Analysis of infrastructure vulnerability.

4. Change Detection

Change detection identifies differences in a location over time, often using remote sensing imagery.

Applications:

Monitoring deforestation and urban sprawl.

Assessing disaster impacts.

Analyzing agricultural productivity.

5. Geocoding and Reverse Geocoding

Geocoding converts addresses into geographic coordinates, while reverse geocoding converts coordinates into readable addresses.

Popular Tools:

Google Maps API

ArcGIS Geocoding Service

6. Spatial Regression

Spatial regression analyzes relationships between variables in a geographic context. It’s used in fields like economics, epidemiology, and environmental science.

Key Methods:

Ordinary Least Squares (OLS)

Geographically Weighted Regression (GWR)

7. Cluster Analysis

Cluster analysis groups spatial data points based on similarities. It’s useful for market segmentation, crime mapping, and disease outbreak analysis.

Common Techniques:

K-Means Clustering

DBSCAN

Hierarchical Clustering

Emerging Trends in Geospatial Analysis

AI and Machine Learning Integration Advanced algorithms are enhancing geospatial analysis, enabling predictive modeling and pattern recognition. For instance, machine learning models can classify satellite imagery or predict traffic flow.

Cloud-Based Geospatial Platforms Cloud computing enables the analysis of massive geospatial datasets without local hardware constraints. Platforms like Google Earth Engine and AWS provide scalable solutions.

3D and Real-Time Mapping 3D mapping tools like Esri's ArcGIS Pro offer realistic visualizations, while real-time data feeds enable dynamic mapping for applications like traffic monitoring.

Augmented Reality (AR) and Virtual Reality (VR) AR and VR are being used to create immersive geospatial experiences, such as virtual tours of urban developments or disaster simulations.

IoT and Geospatial Analysis Internet of Things (IoT) devices generate real-time spatial data, which can be analyzed for applications like smart city planning and environmental monitoring.

How to Choose the Right Tools and Techniques

The choice of tools and techniques depends on your project goals, data availability, and budget. Here are some tips:

Define Your Objectives: Clearly outline what you aim to achieve with geospatial analysis.

Assess Your Data: Determine the type, format, and volume of data you'll be working with.

Consider Scalability: For large-scale projects, opt for cloud-based tools or databases with high processing power.

Budget Constraints: Open-source tools like QGIS and Kepler.gl are great for cost-effective analysis.

Conclusion

Geospatial analysis is transforming the way we understand and interact with the world. With powerful tools like GIS software, remote sensing platforms, and programming libraries, combined with advanced techniques such as hot spot analysis and machine learning, the possibilities are endless. By selecting the right tools and applying the appropriate techniques, you can unlock the full potential of geospatial data and drive impactful decisions.

Start exploring the world of geospatial analysis today to stay ahead in this data-driven era!

[germanpostwarmodern]

Former Diesterweg-Gymnasium (1971-76) in Berlin, Germany, by Pysall, Jensen, Stahrenberg & Partner

[anderwater]

“The fox has nothing and has to steal everything. I'd rather be the farmer with a cellar full of meat.” PARA - WIR SIND KING (2021-) S1E6

[watchingalotofmovies]

Buba

Buba    [trailer]

When a small-town con artist joins the local mafia with his manipulative brother, his obsession with balancing his karma gets hilariously brutal.

There's not a whole lot of story, and that "Karma"/good old Catholic guilt wasn't really funny (and thankfully got resolved at the end). But if your'e a fan then it's fun to watch Bjarne Mädel and Georg Friedrich goofing around. With an amusing bonus appearance by Maren Kroymann.

[equalv]

German tv shows with lgbt* characters

I think it can be quite hard to find queer german tv shows, so I thought I‘d compile a list with the ones that I have watched so far.

✪  = queerness is centered in this show

A-Z

1899 (2022) (mlm) | Netflix | international 

Ángel (Miguel Bernardeau) 

Ramiro (José Pimentão)

Krester (Lucas Lynggaard Tønnesen)

All you need (2021-) (mlm) | ZDF | ✪

Vince (Benito Bause)

Robbie (Frédéric Brossier)

Levo (Arash Marandi)

Tom (Mads Hjulmand)

Andreas (Tom Keune)

Barbaren (2020-) (mlm) | Netflix

Marbod (Murathan Muslu)

Flavus (Daniel Donsky)

Beat (2018) (mlm) | Prime Video

Beat (Jannis Niewöhner) 

Becoming Charlie (2022-) (trans, mlm, wlw) | ZDF | ✪

Charlie (Lea Drinde)

Ronja (Sira-Anna Faal)

Mirko (Antonije Stankovic)

Blutige Anfänger (2020-) (mlm) | ZDF, YT

Michael Kelting (Werner Daehn)

Dr. Claas Steinebach (Martin Bretschneider)

Bruno Pérez (Martin Peñaloza Cecconi)

Phillip Schneider (Eric Cordes)

Charité (2017-) (wlw, mlm) | Netflix

Schwester Therese (Klara Deutschmann)

Otto Marquardt (Jannik Schümann)

Martin Schelling (Jacob Matschenz)

Dark (2017-2020) (wlw, mlm, trans) | Netflix

Peter Doppler (Stephan Kampwirth)

Bennie Wöller (Anton Rubtsov)

Doris Tiedemann (Tamar Pelzig/Luise Heyer)

Agnes Nielsen (Helena Pieske/Antje Trauer)

Deutschland 83/86/89 (2015-2020) (wlw, mlm) | Prime Video

Alex Edel (Ludwig Trepte)

Prof. Tobias Tischbier (Alexander Beyer)

Lenora Rauch (Maria Schrader)

Rose Seithathi (Florence Kasumba)

Dogs of Berlin (2018) (mlm) | Netflix

Erol Birkan (Fahri Yardim)

Guido Mack (Sebastian Achilles)

Dr. Klein (2014-2019) (mlm) | Netflix

Patrick Keller (Leander Lichti)

Kaan Gül (Karim Günes)

DRUCK (2018-) (wlw, mlm, trans) | YT | ✪

Fatou Jallow (Sira-Anna Faal)

Matteo Florenzi (Michelangelo Fortuzzi)

Zoe Machwitz (Madeleine Wagenitz)

Kieu My Vu (Nhung Hong)

Isi Inci (Eren M. Güvercin)

David Schreibner (Lukas von Horbatschewsky)

Yara Aimsakul (Elena Plyphalin Siepe)

Hans Brecht (Florian Appelius)

Eldorado KaDeWe – Jetzt ist unsere Zeit (2021-) (wlw) | ARD

Heidi Kron (Valerie Stoll)

Fritzi Jandorf (Lia von Blarer)

How to Sell Drugs Online (Fast) (2019-) (wlw) | Netflix

Fritzi (Leonie Wesselow)

Gerda (Luna Baptiste Schaller)

Kitz (2021) (mlm) | Netflix

Kosh Ziervogel (Zoran Pingel)

Hans Gassner (Ben Felipe)

Ku‘damm 56/59/63 (2016-2021) (mlm) | ZDF

Wolfgang von Boost (August Wittgenstein)

Hans Liebknecht (Andreas Pietschmann)

Der Kroatien Krimi/Split Homicide (2016-) (wlw) | ARD

Stascha Novak (Jasmin Gerat)

Loving Her (2021) (wlw) | ZDF | ✪

Hanna (Banafshe Hourmazdi)

Holly (Bineta Hansen)

Franzi (Lena Klenke)

Lara (Emma Drogunova)

Josephine (Karin Hanczewski)

Anouk (Larissa Sirah Herden)

Sarah (Soma Pysall)

Mord mit Aussicht (2018-2022) (wlw) | Netflix

Bärbel Schmied (Meike Droste)

Neumatt (2021-) (mlm) - Switzerland | Netflix

Michi Wyss (Julian Koechlin)

Joel Bachmann (Benito Bause)

Polizeiruf 110 (1971-) (queer/gnc) | ARD

Frankfurt/Świecko

Vincent Ross (Andre Kaczmarczyk)

SOKO Leipzig (2001-) (mlm) | ZDF

Moritz Brenner ( Johannes Hendrik Langer )

Tatort (1970-) (mlm, wlw) | ARD

Berlin

Robert Karow (Mark Waschke)

Hamburg

Julia Grosz (Franziska Weisz)

Saarbrücken

Esther Baumann (Brigitte Urhausen)

Wien

Meret Schande (Christina Scherrer)

Vorstadtweiber (2015-) (mlm) – Austria

Georg Schneider (Jürgen Maurer)

Joachim Schnitzler (Phillip Hochmair)

WIR (2021-) (wlw) | ZDF

Annika Baer (Eva Maria Jost)

Helena Kwiatkowski (Katharina Nesytowa)

Wendland (2023-) (wlw) | ZDF

Kira Engelmann (Paula Kalenberg)

Birthe (?)

Queer Eye Germany (2022) (mlm, nblm, trans) | Netflix

Avi Jakobs

Leni Bolt

Ayan Yuruk

Jan-Henrik Scheper-Stutke

Aljosha Muttardi

Notes: I may have forgotten to add some characters, because for most of the shows it has been some time since I last watched them. Please let me know if you want me to add a character or even show:)

[passion-of-arts]

Serie: Para - Wir sind King - Staffel 1

“Para – Wir sind King“, realistisch dargestellte Dramaserie über Frauen in der Blüte ihrer Jugend, die es nicht einfach haben. INHALT: “Para – Wir sind King” ist eine 6-teilige Drama-Serie von Özgür Yildirim mit Jeanne Goursaud, Jobel Mokonzi, Soma Pysall und Roxana Samadi. Zurück in der Welt von „4 Blocks“ in Berlin, allerdings ein paar Straßen weiter erzählt “Para – Wir sind King” die…

[misfireanon]

55

He followed the faint smell of smoke to a stall near the edge of the market, sandwiched between an asari confectionery and a hanar diner. The place looked clean, freshly renovated, with spotless white tiles and clear glass tanks, not a speck of mold in sight. A neon orange sign hung over the storefront, some of the letters flickering once in a while. It was supposed to be artistic, he figured. The glass seemed to be hand-blown, and a permit on the Presidium was much too expensive for such oversights.

The woman behind the counter stood up when he approached. “What’ll it be?”

Saren pointed towards the rightmost tank. Nodding, she took up the net hanging over the glass edge and scooped out one of the fish, pure silver with a jade-green patch running along its belly. She slapped it onto a wooden block, slew it with a handheld shock prod, and began to clean it with a long, curved knife.

“Is it wild-caught?” He asked.

“Nope, farmed right here in the Widow,” she said, dropping the bloody entrails on a metal spatula. She rinsed her knife, and then started on the bones. “We get it from the same liveship that supplies Teucallix’s Market.” She flicked a mandible, indicating a location deeper in the complex. 

Good enough. “If I recall correctly, this used to be a liqueur store.”

She lifted up the backbone of the fish as well as all three sets of fin rays, tutted, and carved a bit more meat from the bone before discarding the lot somewhere behind the counter. “Yeah, we only opened four months ago. I’d say business has been booming, but that’d be a lie. My money’s on four more months before we close.”

“Not too much, thank you,” he told her when she started to rub seasoning into the pearly flesh. Eikul seeds were an acquired taste, and the mixture she used contained plenty, along with salt and boltweed. “Why do you say that?”

She splayed out the fish on an iron slab. As its edges curled and sizzled from the heat, she slid its organs onto the slab and stirred them with the sharp-edged spatula, cutting in a spoonful of sugar and dried berries. “There’s just not enough customers. Half the investors knew it beforehand, but three-quarters of them liked the novelty too much to give it up.” She flipped over the fillet. Its skull was singed a pale amber, promising a pleasant crunch. Even the smoke was heavy with the scent of spices. “Condiments?”

There were plenty to choose from, all neatly arranged in canteen-style tubs; chopped whitestrings, shaved meat, a dozen types of pickled fruits and herbs. He pointed out a few. “Add double the amount of pysal, please.”

She tipped heaping spoonfuls over the fish, smiled at him, and sprinkled an extra pinch of the wrinkled yellow cubes on top before folding it inside a paper sleeve. “Here.”

He tapped his credit chit with one hand and took the fish in the other. It was piping hot, though the temperature had not bothered the cook one bit. 

Saren held it over his shoulder, an acknowledgement of the reflection in the tiles. Slinking to his side, Nihlus sniffed it, nibbled on it, before backing away, chuckling. “I’d rather not sustain another tongue injury today.”

“How was the meeting?” Saren turned around.

Nihlus groaned. “I don’t understand. It was all in the report, but they insisted on making me clarify the casualty numbers no fewer than three times. Were they too low? And then Valern kept asking me for the detailed specs of the disguised transport before it got blown up. Probably suspects an illegal dock, but I don’t know those specs. Because the ship got blown up. And then Sparatus got worked up because I shouldn’t have double-counted the smugglers as casualties, apparently. You think Tevos likes me? You’re wrong, because she didn’t say a word until the end, when she told me to pack my ass to Illium next week. I’d almost made it to the elevator, too, but that reporter from Pulseline Daily got me.” He draped an arm around Saren. “All in all, I should’ve had breakfast before I left.”

Wordlessly, Saren offered the fish again. Nihlus looked to him, and the fish, and back to him; smiled, and bit down. A tantalising crunch.

[dashalbrundezimmer]

cremonbrücke // hamburg altstadt

architects: pysall-stahrenberg & partner

completion: 1981