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Introduction
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Geospatial Concepts
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A common terminology and set of concepts has been defined by the OGC Simple Feature Access, and is widely used across open source geospatial libraries
Core geometric objects (point, line/linestring and polygon) and their multi-part collections (multi-point, multi-line, multi-polygon) are building blocks for vector data and operations
A “feature” is made up of a geometry and attributes
Know your projection and the need to transform to another projection (reproject)
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Encodings, Formats and Libraries
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Python vector packages implement community standards for vector encoding. While these can seem complex, tools exist for conversion into various forms, and many of the tools include common interfaces for seamles exchange of data across tools.
Packages exist for easily reading data from file-based and other serialized data formats.
Most of these packages involve a series of steps to handle data, such as stepping through features via a loop, etc. Most tools do one or a couple of things only. GeoPandas addresses these challenges by enabling operations on feature collections in one step and bundling multiple tools via a coherent interface that builds on Pandas.
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GeoPandas Introduction
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GeoPandas Advanced Topics
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GeoPandas offers powerful capabilities and interacts with other tools.
GeoJSON and the common __geo_interface__ enable convenient and widespread geospatial data object exchange across geospatial packages in Python.
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OpenStreetMap data access and processing
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Interacting with mapped data using Holoviz
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Most of these links are blog posts. The date shown is the blog post date, or else some other document date. A couple of links are in French, all from the same blog; apologies, but they’re excellent resources – if you know French! They’re probably useful even if you don’t know French.