Leafmap is a Python package for making interactive maps and geospatial analysis in a Jupyter environment, open source and a very complete page with instructions and examples #python
https://github.com/giswqs/leafmap
https://github.com/giswqs/leafmap
GitHub
GitHub - opengeos/leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment - GitHub - opengeos/leafmap: A Python package for interactive mapping and geospatial a...
Process automation with Python and GDAL/OGR explained with a simple example: generate for all Spain provinces a DEM mosaic and then the contour lines map #python
https://programapa.wordpress.com/2021/07/22/python-gdal-ogr/
https://programapa.wordpress.com/2021/07/22/python-gdal-ogr/
PrograMapa
Automatizando procesos con Python y GDAL/OGR
Creamos un script que genera un mosaico MDE, extrae sus curvas de nivel y las recorta por provincia en un GeoPackage
gospl (short for Global Scalable Paleo Landscape Evolution) is a GPL-licensed open source library that provides a Python-based parallel scalable numerical model for the reconstruction of landscapes and basins on a global scale. #python
https://gospl.readthedocs.io/en/latest/
https://gospl.readthedocs.io/en/latest/
"Spatial Data Programming with Python" is a practical book crafted with JupyterBook to learn to develop geospatial applications with Open Source tools and Open Data #python
https://geobgu.xyz/py
https://geobgu.xyz/py
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Panel is an open source Python library that allows you to create custom interactive web applications and dashboards by connecting user-defined widgets to maps, images, tables, or text. #python
https://panel.holoviz.org/
https://panel.holoviz.org/
Version 1.6 (April 2022) of the Python handbook for geologists to learn how to program and solve geology-related problems in a practical way with a Binder repository in the cloud for exercises #python
https://github.com/kevinalexandr19/manual-python-geologia
https://github.com/kevinalexandr19/manual-python-geologia
GitHub
GitHub - kevinalexandr19/manual-python-geologia: Python para Geólogos
Python para Geólogos. Contribute to kevinalexandr19/manual-python-geologia development by creating an account on GitHub.
"Introduction to Python Scripting for Geospatial" is a geospatial programming course with Python playing ArcPy and Pandas and Geopia and the APIs and carto-python with lessons on Jupyter Notebook #python
https://pratt-savi-810.github.io/
https://pratt-savi-810.github.io/
A website that collects all the open source (OS) Python libraries that can be used for analysis, visualization, and other tasks related to GIS and Earth observation #python
https://ecosystem.pythongis.org/
https://ecosystem.pythongis.org/
Introduction to geospatial and vector raster data with Python course to learn the basics, skills and tools to work with data in less time and more easily #python
https://carpentries-incubator.github.io/geospatial-python/
https://carpentries-incubator.github.io/geospatial-python/
The open source PCRaster library offers about 250 optimized functions for building spatiotemporal environmental models in Python #python
https://pcraster.geo.uu.nl/downloads/latest-release/
https://pcraster.geo.uu.nl/downloads/latest-release/
PCRaster
PCRaster 4.4.0
PCRaster 4.4.0 is the currently maintained version.
What's new
PCRaster now supports the ARM architecture, packages for Apple M1 (#341) are available on conda-forge.
Other updates relevant for users:
What's new
PCRaster now supports the ARM architecture, packages for Apple M1 (#341) are available on conda-forge.
Other updates relevant for users:
Urbanity is a Python package developed by the NUS Urban Analytics Lab to automate the construction of feature-rich (contextual and semantic) urban networks at any geographic scale #python
https://github.com/winstonyym/urbanity
https://github.com/winstonyym/urbanity
GitHub
GitHub - winstonyym/urbanity: A network-based python package to understand and model urban complexity
A network-based python package to understand and model urban complexity - winstonyym/urbanity
"Geocomputation with Python" is an open source book on reproducible geographic data analysis with open source software #python
https://py.geocompx.org/
https://py.geocompx.org/
py.geocompx.org
Geocomputation with Python
<p>This book will teach you how to work with geographic data in Python. It’s a short and practical open source book in which you’ll develop and use geocomputation to solve practical problems and lay the foundations for advanced geospatial applications.</p>
Madina ("city" in Arabic) is a Python package that simplifies the representation and analysis of urban networks and models pedestrian and bicycle travel #python
https://github.com/City-Form-Lab/madina
https://github.com/City-Form-Lab/madina
GitHub
GitHub - City-Form-Lab/madina: A Python library modeling pedestrian and bicycle trips over networks.
A Python library modeling pedestrian and bicycle trips over networks. - City-Form-Lab/madina
"Geocomputation with Python" is a book about geographic data analysis with open source software, reproducible, transparent and accessible on GitHub #python
https://py.geocompx.org/
https://py.geocompx.org/
py.geocompx.org
Geocomputation with Python
<p>This book will teach you how to work with geographic data in Python. It’s a short and practical open source book in which you’ll develop and use geocomputation to solve practical problems and lay the foundations for advanced geospatial applications.</p>
A fast, easy-to-use, and lightweight Python library for AI object detection and semantic segmentation in geospatial rasters (GeoTIFF), with pre-built models included #python
https://github.com/uav4geo/GeoDeep
https://github.com/uav4geo/GeoDeep
GitHub
GitHub - uav4geo/GeoDeep: Free and open source library for AI object detection and semantic segmentation in geospatial rasters.…
Free and open source library for AI object detection and semantic segmentation in geospatial rasters. 🚀 - uav4geo/GeoDeep