GitHub - flatgeobuf/flatgeobuf: A performant binary encoding for geographic data based on flatbuffers
A performant binary encoding for geographic data based on flatbuffers that can hold a collection of Simple Features including circular interpolations as defined by SQL-MM Part 3. Inspired by geobuf and flatbush. Deliberately does not support random writes for simplicity and to be able to cluster the data on a packed Hilbert R-Tree enabling fast bounding box spatial filtering. The spatial index is
Carousel Template · Bootstrap v5.2
Example headline. Some representative placeholder content for the first slide of the carousel. Sign up today Another example headline. Some representative placeholder content for the second slide of the carousel. Learn more One more for good measure. Some representative placeholder content for the third slide of this carousel. Browse gallery
OGC API - Features
OGC API - Features is a multi-part standard that offers the capability to create, modify, and query spatial data on the Web and specifies requirements and recommendations for APIs that want to follow a standard way of sharing feature data. The specification is a multi-part document. The Core part of the specification describes the mandatory capabilities that every implementing service has to suppo
Instant Heatmap with pg_featureserv | Crunchy Data Blog
The pg_featureserv micro-service is a thin middleware that binds tables and functions in a PostgreSQL database to a JSON collections API, accessible over HTTP. Using the Crunchy Bridge container apps, I'm going to give a quick overview of how to set up a web based spatial heatmap from Postgres. Application The application uses PostgreSQL to store and search 2.2M geographic names in the USA. Type i
GitHub - azavea/loam: Javascript wrapper for GDAL in the browser
Assuming you are using a build system, the main loam library should integrate into your build the same as any other library might. However, in order to correctly initialize the Emscripten environment for running GDAL, there are other assets that need to be accessible via HTTP request at runtime, but which should not be included in the main application bundle. Specifically, these are: loam-worker.j
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GitHub - opengeos/HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
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GitHub - uber/h3-js: h3-js provides a JavaScript version of H3, a hexagon-based geospatial indexing system.
GitHub - zachasme/h3-pg: PostgreSQL bindings for H3, a hierarchical hexagonal geospatial indexing system
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GitHub - maplibre/martin: Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.
Georeferencing: How to Georeference Images - GIS Geography
Build a geospatial dashboard in Python using Greppo
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Creating Interactive Geospatial Visualisation
Geospatial Tools for Agricultural Water Management
GitHub - opengeos/streamlit-geospatial: A multi-page streamlit app for geospatial
GitHub - sat-utils/sat-search: A python client for sat-api
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