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Merge pull request #143 from cleder/master

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add pygeoif and fastkml
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@ -189,7 +189,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [OpenLayers](http://openlayers.org/) - High-performance, feature-packed library for creating interactive maps on the web.
* [Oskari](https://oskari.org/) - Framework for easily building multipurpose web mapping applications utilizing distributed Spatial Data Infrastructures like INSPIRE.
* [react-azure-maps](https://github.com/WiredSolutions/react-azure-maps) - React Wrapper for azure-maps-control.
* [TerriaJS](https://github.com/TerriaJS/terriajs) - A library for building rich, web-based geospatial data explorers.
* [TerriaJS](https://github.com/TerriaJS/terriajs) - A library for building rich, web-based geospatial data explorers.
* [titiler](https://github.com/developmentseed/titiler) - A dynamic Web Map tile server.
* [v-mapbox](https://github.com/geospoc/v-mapbox) - Vue.js wrapper for `mapbox-gl-js`.
* [vue-azure-maps](https://github.com/rickyruiz/vue-azure-maps) - Integrate Azure Maps in your Vue application.
@ -203,7 +203,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [Geoserver](http://geoserver.org/) - WMS written in Java and relies on GeoTools. Allows users to share and edit geospatial data.
* [GeoTrellis Server](https://github.com/geotrellis/geotrellis-server) - Tools for building raster processing and display services. It supports WMS, WCS, WMTS and can use individual rasters, STAC Catalogs (through the STAC API service) and GeoTrellis Layers as input raster sources.
* [MapGuide](https://mapguide.osgeo.org/) - Runs on Linux or Windows, supports Apache and IIS web servers, and has APIs (PHP, .NET, Java, and JavaScript) for application development.
* [MapProxy](http://mapproxy.org/) - An open source tile server proxy for geospatial data (WMS-C, TMS, WMTS, KML SuperOverlays). It caches, accelerates and transforms data from existing map services and serves any desktop or web GIS client.
* [MapProxy](http://mapproxy.org/) - An open source tile server proxy for geospatial data (WMS-C, TMS, WMTS, KML SuperOverlays). It caches, accelerates and transforms data from existing map services and serves any desktop or web GIS client.
* [Mapserver](http://mapserver.org/) - WMS written in C.
* [MapTiler Server](https://www.maptiler.com/server/) - Map server for self-hosting. Publish interactive maps to get map services from your own server or laptop.
* [Nanocubes](https://github.com/laurolins/nanocube) - An in-memory data structure for spatiotemporal data cubes.
@ -243,7 +243,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [Laspy](http://laspy.readthedocs.io/en/latest/) - Laspy is a python library for reading, modifying, and creating .LAS LIDAR files.
* [LAStools](http://www.cs.unc.edu/~isenburg/lastools/) - A collection of highly-efficient, scriptable tools with multi-core batching that process LAS, compressed LAZ, Terrasolid BIN, .shp, and ASCII.
* [LASzip](https://laszip.org/) - Quickly turns bulky LAS files into compact LAZ files without information loss.
* [libLAS](https://liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format.
* [libLAS](https://liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format.
* [lidar](https://github.com/jblindsay/lidar) - A Crystal language library for reading and writing LiDAR data in LAS format.
* [lidario](https://github.com/jblindsay/lidario) - A small Go library for reading and writing LiDAR (LAS) files.
* [lidR](https://github.com/Jean-Romain/lidR) - R package for airborne LiDAR data manipulation and visualisation for forestry application.
@ -337,7 +337,7 @@ with GNSS (global navigation satellite system).
## Libraries
* [GDAL](http://www.gdal.org/) - Geospatial Data Abstraction Library (GDAL) is a translator library for raster and vector geospatial data formats.
* [GeographicLib](http://geographiclib.sourceforge.net/) - For solving geodesic problems. Implemented in C, C++, Java, Javascript, Fortran, Python and Matlab.
* [GeographicLib](http://geographiclib.sourceforge.net/) - For solving geodesic problems. Implemented in C, C++, Java, Javascript, Fortran, Python and Matlab.
* [Geolib](http://www.geolib.co.uk/) - GeoLib is a fast, efficient, computational geometry library available in C++, C# and Java.
* [Mapnik](http://mapnik.org/) - C++/Python/Node.js library for map rendering.
* [MDAL](https://github.com/lutraconsulting/MDAL) - Mesh Data Abstraction Library.
@ -437,7 +437,7 @@ with GNSS (global navigation satellite system).
* [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation.
* [TorchGeo](https://github.com/microsoft/torchgeo) - TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
* [TorchSat](https://github.com/sshuair/torchsat) - TorchSat is an open-source PyTorch framework for satellite imagery analysis.
* [tsl](https://github.com/TorchSpatiotemporal/tsl) - PyTorch library for processing spatiotemporal data.
* [tsl](https://github.com/TorchSpatiotemporal/tsl) - PyTorch library for processing spatiotemporal data.
* [WaterNet](https://github.com/treigerm/WaterNet) - A convolutional neural network that identifies water in satellite images.
* [YOLT](https://github.com/avanetten/yolt) - You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery.
@ -475,7 +475,7 @@ with GNSS (global navigation satellite system).
* [libGeoTiff](https://trac.osgeo.org/geotiff/) - Manipulate TIFF based interchange format for georeferenced raster imagery.
* [libspatialindex](https://github.com/libspatialindex/libspatialindex) - C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API.
* [Mapbox GL Native](https://github.com/mapbox/mapbox-gl-native) - Render Mapbox styles in mobile, desktop, and node applications using C++ and OpenGL.
* [Mapbox Maps SDK for Qt](https://www.mapbox.com/qt/) - Qt Automotive Map Suite.
* [Mapbox Maps SDK for Qt](https://www.mapbox.com/qt/) - Qt Automotive Map Suite.
* [Mapnik Vector Tile](https://github.com/mapbox/mapnik-vector-tile) - Mapnik C++ implemention of Mapbox Vector Tile specification.
* [Mapnik](http://mapnik.org/) - C++ library for map rendering.
* [Mapzen Tangram-ES](https://github.com/tangrams/tangram-es) - C++ library for rendering 2D and 3D maps using OpenGL ES 2 with custom styling and interactions
@ -497,7 +497,7 @@ with GNSS (global navigation satellite system).
* [Selene](https://github.com/kmhofmann/selene) - A C++14 image representation, processing and I/O library.
* [Spatial](https://sourceforge.net/projects/spatial/) - Spatial is a generic header-only C++ library providing multi-dimensional in-memory containers, iterators and functionals.
* [Supercluster](https://github.com/mapbox/supercluster.hpp) - A C++14 port of supercluster, a fast 2D point clustering library for use in interactive maps.
* [TauDEM](https://github.com/dtarb/TauDEM) - Terrain Analysis Using Digital Elevation Models (TauDEM) software for hydrologic terrain analysis and channel network extraction.
* [TauDEM](https://github.com/dtarb/TauDEM) - Terrain Analysis Using Digital Elevation Models (TauDEM) software for hydrologic terrain analysis and channel network extraction.
* [Terralib](http://www.dpi.inpe.br/terralib5/wiki/doku.php?id=start) - TerraLib is a GIS classes and functions open source library.
* [TIN Terrain](https://github.com/heremaps/tin-terrain) - A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes.
* [tippecanoe](https://github.com/mapbox/tippecanoe) - Build vector tilesets from large collections of GeoJSON features.
@ -522,7 +522,7 @@ with GNSS (global navigation satellite system).
* [GeoJSON.Net](https://github.com/GeoJSON-Net/GeoJSON.Net) - .Net library for GeoJSON types & corresponding Json.Net (de)serializers.
* [GeoJSON4EntityFramework](https://github.com/alatas/GeoJSON4EntityFramework) - Create GeoJSON from Entity Framework Spatial Data or WKT.
* [Mapbox Maps SDK for Unity](https://www.mapbox.com/unity-sdk/) - The Maps SDK for Unity is a collection of tools for building Unity applications from real map data.
* [MaxRev.Gdal.Core](https://github.com/MaxRev-Dev/gdal.netcore) - Bindings for GDAL and OGR (both win-x64 and linux-x64).
* [MaxRev.Gdal.Core](https://github.com/MaxRev-Dev/gdal.netcore) - Bindings for GDAL and OGR (both win-x64 and linux-x64).
* [NTS Net Topology Suite](https://github.com/NetTopologySuite/NetTopologySuite) - A .NET GIS solution that is fast and reliable for the .NET platform.
* [osmsharp](http://www.osmsharp.com/) - OsmSharp is a C# library to work with OpenStreetMap (OSM) data.
* [Sanchez](https://github.com/nullpainter/sanchez) - False-colour geostationary satellite image compositor.
@ -650,12 +650,12 @@ with GNSS (global navigation satellite system).
* [Geokit](https://github.com/developmentseed/geokit) - Geokit is a command-line interface (CLI) tool written in javascript, that contains all the basic functionalities for measurements, conversions and operations of geojson files.
* [geoverview ](https://github.com/neocarto/geoverview) - Based on maplibre-gl, geoverview is a tool for giving a quick and easy geographic overview of any geojson (and the information it contains).
* [GeoPackage.js](https://github.com/ngageoint/geopackage-js) - GeoPackage JS is an implementation of the OGC GeoPackage spec. This library works in both the browser and Node 4+.
* [geopouch](https://github.com/pouchdb/geopouch) - Spatial plugin from PouchDB extracted and supporting N dimensional coordinates.
* [Geo-Three](https://github.com/tentone/geo-three) - Tile based geographic world map visualization library for threejs.
* [geopouch](https://github.com/pouchdb/geopouch) - Spatial plugin from PouchDB extracted and supporting N dimensional coordinates.
* [Geo-Three](https://github.com/tentone/geo-three) - Tile based geographic world map visualization library for threejs.
* [geotiff.js](https://github.com/geotiffjs/geotiff.js) - geotiff.js is a small library to parse TIFF files for visualization or analysis.
* [geotoolbox](https://github.com/neocarto/geotoolbox) - is javascript tool for geographers. It allows to simply deal with geojson properties (attribute data) and provides several GIS operations useful for thematic cartography.
* [Ginkgoch](https://ginkgoch.com) - Ginkgoch is a GIS visualization, analyze library on Node.js. It allows to build cross-platform GIS services, desktop and mobile apps.
* [gmaps.js](https://github.com/hpneo/gmaps) - gmaps.js allows you to use the potential of Google Maps in a simple way.
* [gmaps.js](https://github.com/hpneo/gmaps) - gmaps.js allows you to use the potential of Google Maps in a simple way.
* [Google Maps API](https://developers.google.com/maps/documentation/javascript/?hl=pt-br) - Google Maps API for JavaScript.
* [Heatcanvas.js](https://github.com/sunng87/heatcanvas) - Yet another heatmap implementation for Javascript.
* [Heatmap.js](https://www.patrick-wied.at/static/heatmapjs/) - A heatmap implementation for Javascript.
@ -685,8 +685,8 @@ with GNSS (global navigation satellite system).
* [OSM Building](https://osmbuildings.org[openrouteservice-js](https://github.com/GIScience/openrouteservice-js) - The JavaScript API to consume openrouteservice(s) painlessly!) - A JavaScript library for visualizing OpenStreetMap building geometry on 2D and 3D maps.
* [overpass-turbo](https://github.com/tyrasd/overpass-turbo) - A web based data mining tool for OpenStreetMap using Overpass API.
* [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities.
* [pixelmatch](https://github.com/mapbox/pixelmatch) - The smallest, simplest and fastest JavaScript pixel-level image comparison library.
* [pouchdb-geospatial](https://github.com/dpmcmlxxvi/pouchdb-geospatial) - The PouchDB Geospatial plugin provides spatial querying of GeoJSON objects right in the browser.
* [pixelmatch](https://github.com/mapbox/pixelmatch) - The smallest, simplest and fastest JavaScript pixel-level image comparison library.
* [pouchdb-geospatial](https://github.com/dpmcmlxxvi/pouchdb-geospatial) - The PouchDB Geospatial plugin provides spatial querying of GeoJSON objects right in the browser.
* [procedural-gl-js](https://github.com/felixpalmer/procedural-gl-js) - Procedural GL JS is a library for creating 3D map experiences on the web, written in JavaScript and WebGL. It is built on top THREE.js.
* [proj4js](https://github.com/proj4js/proj4js) - JavaScript library to transform coordinates from one coordinate system to another, including datum transformations.
* [react-leaflet](https://github.com/PaulLeCam/react-leaflet) - React components for Leaflet maps.
@ -698,7 +698,7 @@ with GNSS (global navigation satellite system).
* [Supercluster](https://github.com/mapbox/supercluster) - A crazy fast geospatial point clustering library for browsers and Node.
* [SuperMap iClient for JavaScript](http://iclient.supermap.io) - Cloud GIS web client development platform supportted by SuperMap.
* [Terra Draw](https://github.com/JamesLMilner/terra-draw) - A cross provider JavaScript library for drawing on maps
* [TerriaJS](https://github.com/TerriaJS/terriajs) - A library for building rich, web-based geospatial data explorers.
* [TerriaJS](https://github.com/TerriaJS/terriajs) - A library for building rich, web-based geospatial data explorers.
* [Thermo.js](https://github.com/dazuma/thermo.js) - Another heatmap implementation for Javascript.
* [tilegarden](https://github.com/azavea/tilegarden) - Serverless raster and vector map tile generation using Mapnik and AWS Lambda.
* [tilelive-postgis](https://github.com/stepankuzmin/tilelive-postgis) - Implements the tilelive API for generating mapnik vector tiles from PostGIS.
@ -711,7 +711,7 @@ with GNSS (global navigation satellite system).
* [WebGISService](https://github.com/VicentGN/WebGISService) - Geospatial operations running as a service. Based on NodeJS/ExpressJS and TurfJS. Works with GeoJSON Features and FeaturesCollection.
* [Windshaft](https://github.com/CartoDB/Windshaft) - A Node.js map tile library for PostGIS and torque.js, with CartoCSS styling.
## Julia
## Julia
* [ArchGDAL](https://github.com/yeesian/ArchGDAL.jl) - Vector and Raster interfaces.
* [ClimateTools.jl](https://github.com/Balinus/ClimateTools.jl) - Collection of commonly-used tools in Climate Science.
@ -826,8 +826,9 @@ with GNSS (global navigation satellite system).
* [elevation](https://github.com/bopen/elevation) - Python script to download global terrain digital elevation models, SRTM 30m DEM and SRTM 90m DEM.
* [eo-box](https://github.com/benmack/eo-box) - Earth observation processing framework for machine learning in Python.
* [EODAG](https://eodag.readthedocs.io/en/latest/) - Command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider.
* [EOmaps](https://github.com/raphaelquast/EOmaps) - Create interactive maps to visualize, analyze and compare geographical datasets (based on matplotlib/cartopy).
* [EOmaps](https://github.com/raphaelquast/EOmaps) - Create interactive maps to visualize, analyze and compare geographical datasets (based on matplotlib/cartopy).
* [EOReader](https://github.com/sertit/eoreader) - EOReader is a multi-satellite reader allowing you to open optical and SAR data.
* [fastkml](https://github.com/cleder/fastkml) - Fastkml is a library to read, write and manipulate KML files. It aims to keep it simple and fast (using lxml if available).
* [Fiona](https://fiona.readthedocs.io/en/latest/) - For making it easy to read/write geospatial data formats.
* [forestatrisk](https://github.com/ghislainv/forestatrisk) - Python package to model and forecast the risk of deforestation.
* [FreeType](https://code.google.com/archive/p/freetype-py/) - For converting font glyphs to polygons.
@ -869,7 +870,7 @@ with GNSS (global navigation satellite system).
* [landsat-extract-gee](https://github.com/loicdtx/landsat-extract-gee) - Get Landsat surface reflectance time-series from google earth engine.
* [Landsat-util](https://github.com/developmentseed/landsat-util) - Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery.
* [landsatxplore](https://github.com/yannforget/landsatxplore) - Search and download Landsat scenes from EarthExplorer.
* [LARD](https://github.com/deel-ai/LARD) - A runway dataset and a generator of synthetic aerial images with automatic labeling.
* [LARD](https://github.com/deel-ai/LARD) - A runway dataset and a generator of synthetic aerial images with automatic labeling.
* [leafmap](https://github.com/giswqs/leafmap) - A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment.
* [Lets-Plot](https://lets-plot.org) - An open-source plotting library supporting visualization of geospatial data on static or interactive maps.
* [lidar](https://github.com/giswqs/lidar) - Terrain and hydrological analysis using digital elevation models (DEMs).
@ -905,7 +906,8 @@ with GNSS (global navigation satellite system).
* [pydeck](https://pydeck.gl) – Python bindings for deck.gl
* [pydelatin](https://github.com/kylebarron/pydelatin) - Python bindings to `hmm` for fast terrain mesh generation
* [pyDEM](https://github.com/creare-com/pydem) - Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.
* [pygeoapi](https://pygeoapi.io/)pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML.
* [pygeoapi](https://pygeoapi.io/)pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML.
* [pygeoif](https://github.com/cleder/pygeoif) - PyGeoIf provides a GeoJSON-like protocol for geo-spatial (GIS) vector data. A simple, pure Python implementation of geometric objects and operations, useful for basic GIS tasks.
* [pyGEOS](https://github.com/pygeos/pygeos) - Exposes geospatial operations from GEOS into Python.
* [pyGMT](https://github.com/GenericMappingTools/pygmt) - Pythonic interface for the Generic Mapping Tools (GMT).
* [pyimpute](https://github.com/perrygeo/pyimpute) - Python module for geospatial prediction using scikit-learn and rasterio.
@ -928,7 +930,7 @@ with GNSS (global navigation satellite system).
* [Rasterio](https://github.com/mapbox/rasterio) - Rasterio employs GDAL under the hood for file I/O and raster formatting.
* [Rasterstats](https://github.com/perrygeo/python-rasterstats/) - Python module for summarizing geospatial raster datasets based on vector geometries.
* [RichDEM](https://github.com/r-barnes/richdem) - High-performance Terrain and Hydrology Analysis.
* [rio-cogeo](https://github.com/mapbox/rio-cogeo) - CloudOptimized GeoTIFF creation plugin for rasterio.
* [rio-cogeo](https://github.com/mapbox/rio-cogeo) - CloudOptimized GeoTIFF creation plugin for rasterio.
* [rio-color](https://github.com/mapbox/rio-color) - Color correction plugin for rasterio.
* [rio-hist](https://github.com/mapbox/rio-hist) - Histogram matching plugin for rasterio.
* [rio-tiler](https://github.com/mapbox/rio-tiler) - Get mercator tile from landsat, sentinel or other AWS hosted raster.
@ -966,8 +968,8 @@ with GNSS (global navigation satellite system).
* [urbansim](https://github.com/UDST/urbansim) - New version of UrbanSim, a platform for modeling metropolitan real estate markets.
* [USGS API](https://github.com/kapadia/usgs) - USGS is a python module for interfacing with the US Geological Survey's API.
* [Verde](https://github.com/fatiando/verde) - Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., gridding).
* [whitebox](https://github.com/giswqs/whitebox) - Python frontend for [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).
* [WhiteboxTools-ArcGIS](https://github.com/giswqs/WhiteboxTools-ArcGIS) - ArcGIS Python Toolbox for [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).
* [whitebox](https://github.com/giswqs/whitebox) - Python frontend for [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).
* [WhiteboxTools-ArcGIS](https://github.com/giswqs/WhiteboxTools-ArcGIS) - ArcGIS Python Toolbox for [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).
* [xarray-spatial](https://github.com/makepath/xarray-spatial) - xarray-spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
* [xarray](http://xarray.pydata.org/en/stable/) - xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.
* [xarray_leaflet](https://github.com/davidbrochart/xarray_leaflet) - An xarray extension for tiled map plotting.
@ -1093,7 +1095,7 @@ with GNSS (global navigation satellite system).
* [maxnet](https://github.com/mrmaxent/maxnet) - R package for modelling species geographic distributions. It implements much of the functionality of the Maxent Java application.
* [McSpatial](https://cran.r-project.org/web/packages/McSpatial/index.html) - Provides functions for locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit, k-density functions and counterfactuals, nonparametric quantile regression and conditional density functions, Machado-Mata decomposition for quantile regressions, spatial AR model, repeat sales models, and conditionally parametric logit and probit.
* [micromap](https://cran.r-project.org/web/packages/micromap/index.html) - Package provides linked micromaps using ggplot2.
* [ModelMap](https://cran.r-project.org/web/packages/ModelMap/index.html) - Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or in the case of Random Forest Models, with Out Of Bag (OOB) predictions on the training data.
* [ModelMap](https://cran.r-project.org/web/packages/ModelMap/index.html) - Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or in the case of Random Forest Models, with Out Of Bag (OOB) predictions on the training data.
* [ModelR](https://github.com/Model-R/modelr_pkg) - A workflow for ecological niche models based on dismo.
* [moveVis](https://github.com/16EAGLE/moveVis) - An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
* [MTA](https://github.com/riatelab/MTA) - Multiscalar Territorial Analysis is an R package for multiscalar territorial analysis based on various contexts.
@ -1116,7 +1118,7 @@ with GNSS (global navigation satellite system).
* [PBSmodelling](https://cran.r-project.org/web/packages/PBSmodelling/index.html) - Provides modelling support.
* [pepair](https://github.com/dickoa/prepair) - An R package to repair broken GIS polygons using the prepair cpp library.
* [phenofit](https://github.com/kongdd/phenofit) - A state-of-the-art Vegetation Phenology extraction package.
* [phenopix](https://cran.r-project.org/web/packages/phenopix/index.html) - A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
* [phenopix](https://cran.r-project.org/web/packages/phenopix/index.html) - A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
* [plotGoogleMaps](https://cran.r-project.org/web/packages/plotGoogleMaps/index.html) - Interactive plot device for handling the geographic data for web browsers.
* [plotKML](https://cran.r-project.org/web/packages/plotKML/index.html) - Visualization of Spatial and Spatio-Temporal Objects in Google Earth.
* [polyclip](https://github.com/baddstats/polyclip) - R package polyclip: a port of the Clipper library for polygon geometry.
@ -1328,12 +1330,12 @@ with GNSS (global navigation satellite system).
* [Google Earth Engine](https://earthengine.google.com/) - Is a cloud computing platform for processing satellite imagery and other Earth observation data.
## Visualization
## Visualization
* [Blender GIS](https://github.com/domlysz/BlenderGIS) - Blender addons to make the bridge between Blender and geographic data.
* [bv](https://github.com/daleroberts/bv) - bv is a small tool to quickly view high-resolution multi-band imagery directly in your iTerm 2.
* [Cinder](https://libcinder.org/) - Cinder is a free and open source library for professional-quality creative coding in C++.
* [circlize](https://github.com/jokergoo/circlize) - Circular visualization in R. Circular layout is an efficient way for the visualization of huge amounts of information.
* [circlize](https://github.com/jokergoo/circlize) - Circular visualization in R. Circular layout is an efficient way for the visualization of huge amounts of information.
* [CityEngine-Twitter](https://github.com/urschrei/CityEngine-Twitter) - Visualise Twitter activity using a procedurally-generated 3D city model.
* [CometTS](https://github.com/CosmiQ/CometTS) - Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons.
* [D3.js](https://d3js.org/) - D3.js is a JavaScript library for manipulating documents based on data.
@ -1350,7 +1352,7 @@ with GNSS (global navigation satellite system).
* [P5.js](https://p5js.org/) - Javascript library that starts with the original goal of Processing.
* [Peak map](https://github.com/anvaka/peak-map) - Allows you to visualize elevation of any area on the map with filled area charts.
* [PlotJuggler](https://github.com/facontidavide/PlotJuggler) - PlotJuggler is a tool to visualize time series that is fast, powerful and intuitive.
* [PostGIS Preview](https://github.com/NYCPlanning/labs-postgis-preview) - A lightweight node api and frontend for quickly previewing PostGIS queries.
* [PostGIS Preview](https://github.com/NYCPlanning/labs-postgis-preview) - A lightweight node api and frontend for quickly previewing PostGIS queries.
* [procedural-gl-js](https://github.com/felixpalmer/procedural-gl-js) - Procedural GL JS is a library for creating 3D map experiences on the web, written in JavaScript and WebGL. It is built on top THREE.js.
* [Processing.py](http://py.processing.org/) - Python mode for Processing.
* [Processing](https://processing.org/) - Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts.
@ -1378,7 +1380,7 @@ with GNSS (global navigation satellite system).
* [GrADS](http://cola.gmu.edu/grads/) - The Grid Analysis and Display System (GrADS) is an interactive desktop tool that is used for easy access, manipulation, and visualization of earth science data.
* [imscript](https://github.com/mnhrdt/imscript) - A collection of small and standalone utilities for image processing.
* [Kart](https://kartproject.org/) - Distributed version-control
for geospatial and tabular data.
for geospatial and tabular data.
* [Kongsberg Geospatial's TerraLens SDK](https://www.kongsberggeospatial.com/products/terralens) - SDK designed for easy project integration and quick implementation in virtually any development environment. TerraLens provides real-time 2D and 3D mapping with powerful data visualization tools.
* [landsat-espa-util](https://github.com/loicdtx/landsat-espa-util) - Library for querying and ordering Landsat Surface Reflectance data via ESPA.
* [Magrit](https://github.com/riatelab/magrit) - Magrit is an online application for thematic mapping.
@ -1447,25 +1449,25 @@ for geospatial and tabular data.
## Free and Open Source Books
* [An Introduction to Spatial Data Analysis and Statistics: A Course in R](https://paezha.github.io/spatial-analysis-r/)
* [Cloud-Based Remote Sensing with Google Earth Engine](https://www.eefabook.org/)
* [Cloud-Based Remote Sensing with Google Earth Engine](https://www.eefabook.org/)
* [Elegant and informative maps with tmap](https://r-tmap.github.io/tmap-book/)
* [Geocomputation with Python](https://py.geocompx.org/)
* [Geocomputation with R](https://r.geocompx.org/)
* [Geographic Data Science with Python](https://geographicdata.science/book/intro.html)
* [Geographic Data Science with R: Visualizing and Analyzing Environmental Change](https://bookdown.org/mcwimberly/gdswr-book/)
* [Geographic Data Science with R: Visualizing and Analyzing Environmental Change](https://bookdown.org/mcwimberly/gdswr-book/)
* [Geospatial Analysis](https://www.spatialanalysisonline.com/)
* [Geospatial Data Science with Julia](https://juliaearth.github.io/geospatial-data-science-with-julia/)
* [Google Earth Engine Applications](https://www.mdpi.com/books/reprint/1262-google-earth-engine-applications)
* [Intro to GIS and Spatial Analysis](https://mgimond.github.io/Spatial/index.html)
* [Google Earth Engine Applications](https://www.mdpi.com/books/reprint/1262-google-earth-engine-applications)
* [Intro to GIS and Spatial Analysis](https://mgimond.github.io/Spatial/index.html)
* [Introduction to Spatial Data Programming with R](https://geobgu.xyz/r/)
* [Introduction to urban accessibility: A practical guide with R](https://ipeagit.github.io/intro_access_book/)
* [Introduction to urban accessibility: A practical guide with R](https://ipeagit.github.io/intro_access_book/)
* [R for Geographic Data Science](https://sdesabbata.github.io/r-for-geographic-data-science/index.html)
* [SAR Handbook - Comprehensive Methodologies for Forest Monitoring and Biomass Estimation](https://servirglobal.net/resources/sar-handbook)
* [Spatial Data Science With Applications in R](https://r-spatial.org/book/)
* [Spatial Microsimulation with R](https://spatial-microsim-book.robinlovelace.net/)
* [Spatial Modelling for Data Scientists](https://gdsl-ul.github.io/san/)
* [Spatial Statistics for Data Science: Theory and Practice with R](https://www.paulamoraga.com/book-spatial/index.html)
* [sits: Satellite Image Time Series Analysis on Earth Observation Data Cubes](https://e-sensing.github.io/sitsbook/)
* [sits: Satellite Image Time Series Analysis on Earth Observation Data Cubes](https://e-sensing.github.io/sitsbook/)
* [The Language of Spatial Analisys](https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/books/the-language-of-spatial-analysis.pdf)
## Conferences
@ -1473,14 +1475,14 @@ for geospatial and tabular data.
* [ESRI User Conference](https://www.esri.com/en-us/about/events/uc/overview) - Esri International User Conference is an event dedicated to geographic information system technology.
* [FOSS4G](http://foss4g.org/) - Free and Open Source Software for Geospatial.
* [FOSSGIS](https://fossgis.de/) - Yearly conference of the German OpenStreetMap chapter and FOSS GIS community
* [Geo For Good Summit](https://earthoutreachonair.withgoogle.com/events/geoforgood21) - Annual conference, hosted by Google, geared toward nonprofits, scientists, government agencies and other change-makers who want to leverage mapping tools and technology for positive impact in the world.
* [Geo For Good Summit](https://earthoutreachonair.withgoogle.com/events/geoforgood21) - Annual conference, hosted by Google, geared toward nonprofits, scientists, government agencies and other change-makers who want to leverage mapping tools and technology for positive impact in the world.
* [GEOINFO](http://www.geoinfo.info/) - The GEOINFO series (Brazilian Symposium on Geoinformatics) is an annual conference for exploring ongoing research, development and innovative applications on geographic information science and related areas.
* [GeoPython](https://2021.geopython.net/) - The conference is focused on Python and Geo, its toolkits and applications.
* [GeoPython](https://2021.geopython.net/) - The conference is focused on Python and Geo, its toolkits and applications.
* [International Syposium on Digital Earth](https://pcoconvin.eventsair.com/isde23/) - Event dedicated to bring together policy makers and scientists and will explore pathways towards the vision of a ‘Digital Earth
* [International Society for Photogrammetry and Remote Sensing](https://www.isprs2020-nice.com/) - The ISPRS Congress is the leading forum where classical and emergent topics related to photogrammetry, remote sensing, and spatial information sciences are discussed.
* [RCMRD International Conference](https://www.rcmrd.org/) - Annual conference held in Nairobi - Kenya, bringing together policymakers, executives, experts, researchers, developers, and innovators worldwide to exchange insights in Earth observation (EO) and Geographic Information System (GIS).
* [SBSR](https://2023.sbsr.com.br/) - Bi-annual Brazilian National Symposium on Remote Sensing.
* [Spatial Data Conference](https://spatial-data-science-conference.com/) - Annual Conferece that intersects GIS, Advanced Analytics & Data Science that is growing rapidly & answering some of the most pressing questions in both the private & public sector.
* [Spatial Data Conference](https://spatial-data-science-conference.com/) - Annual Conferece that intersects GIS, Advanced Analytics & Data Science that is growing rapidly & answering some of the most pressing questions in both the private & public sector.
* [State of the Map](https://stateofthemap.org/) - Annual event for all mappers and OpenStreetMap users.
## Podcasts
@ -1519,11 +1521,11 @@ for geospatial and tabular data.
* [Awesome Sentinel](https://github.com/Fernerkundung/awesome-sentinel)
* [Awesome Spatial](https://github.com/RoboDonut/awesome-spatial/blob/master/README.md)
* [Awesome Spectral Indices](https://github.com/awesome-spectral-indices/awesome-spectral-indices)
* [Awesome SQLite](https://github.com/planetopendata/awesome-sqlite)
* [Awesome SQLite](https://github.com/planetopendata/awesome-sqlite)
* [Awesome-EarthObservation-Code](https://github.com/acgeospatial/awesome-earthobservation-code)
* [Digital Earth Australia notebooks and tools repository](https://github.com/GeoscienceAustralia/dea-notebooks)
* [Digital Earth Australia notebooks and tools repository](https://github.com/GeoscienceAustralia/dea-notebooks)
* [Cartography / Mapping / Web design resources](https://github.com/tolomaps/resources)
* [Essential Python Geospatial Libraries](http://carsonfarmer.com/2013/07/essential-python-geo-libraries/)
* [Essential Python Geospatial Libraries](http://carsonfarmer.com/2013/07/essential-python-geo-libraries/)
* [GeoJSON](https://github.com/tmcw/awesome-geojson)
* [GeoRails](http://daniel-azuma.com/articles/georails/)
* [JuliaGeo](https://juliageo.org/)