Awesome-Geospatial

• Awesome Geospatial
  • Database
  • [Image Classification & DIP Software ] (#image-classification-&-DIP-software)
  • [Geographic Information System] (#geographic-information-system)
  • [Web Map Development] (#web-map-development)
  • [Web Map Server] (#web-map-server)
  • [Radar] (#radar)
  • [Lidar] (#lidar)
  • [Geographic Data Mining] (#geographic-data-mining)
  • [Atmospheric Correction] (#atmospheric-correction)
  • [Libraries] (#libraries)
  • [Python] (#python)
  • [PaaS - [Platform as a Service] (#platform-as-a-service)
  • [SaaS – [Software as a Service] (#software-as-a-service)
  • [DaaS – [Data as a Service] (#data-as-a-service)
  • [Java] (#java)
  • [C Sharp] (#c-sharp)
  • [C++] (#c++)
  • [C] (#c)
  • [Ruby] (#ruby)
  • [CSS] (#css)
  • [Julia] (#julia)
  • [R] (#r)
  • [Node.js] (#node.js)
  • [Mobile Development] (#mobile-development)
  • [Visualization] (#visualization)
  • [Tools] (#tools)
  • [References] (#references)

---

Database

• PostGIS - PostgreSql spatial extension.
• [PostGIS Vector Tile Utils] (https://github.com/mapbox/postgis-vt-util) - A set of PostgreSQL functions that are useful when creating vector tile sources.
• Spatialite - SQLite spatial extension.
• Neo4j Spatial - Library of spatial utilities for Neo4j.
• Oracle Spatial - Oracle database spatial extension.
• MySql Spatial - MySql spatial extension.
• [GeoCouch] (https://github.com/couchbase/geocouch) - GeoCouch is a spatial extension for Couchbase and Apache CouchDB.
• [Cloudant] (https://cloudant.com/) - IBM noSQL database that supports spatial data (GeoJSON).
• [MondoDB] (https://www.mongodb.com/) - Also supports GeoJSON and spatial indexes.
• [DB2 Spatial Extender] (http://www-03.ibm.com/software/products/en/db2spaext) - Spatial Extender allows you to store, manage, and analyze spatial data in DB2.
• [Informix Spatial] (http://www-01.ibm.com/software/data/informix/spatial/) - Informix spatial extension.
• [Teradata Geospatial Feature] (http://br.teradata.com/Resources/Demos/Teradata-Geospatial-Features-Overview/?LangType=1046&LangSelect=true) - Teradata spatial extension for DW and BI.

Image Classification & DIP Software

• [eCognition] (http://www.ecognition.com/suite/ecognition-developer) - GEOBIA software.
• [Interimage] (http://www.lvc.ele.puc-rio.br/projects/interimage/) - Open Source GEOBIA software.
• [ENVI] (http://www.harrisgeospatial.com/ProductsandSolutions/GeospatialProducts/ENVI.aspx) - Geospatial image processing and classification software.
• [ERDAS] (http://www.hexagongeospatial.com/products/producer-suite/erdas-imagine) - Geospatial image processing and classification software.
• [PCI Geomatica] (http://www.pcigeomatics.com/software/geomatica/professional) - Remote sensing software package for image processing
• [Global Mapper] (http://www.bluemarblegeo.com/products/global-mapper.php) - Geospatial and remote sensing data analysis.
• [Spring] (http://www.dpi.inpe.br/spring/english/index.html) - GIS and remote sensing image processing system with an object-oriented data model.
• [TerrSet] (https://clarklabs.org/terrset/) - TerrSet (formerly IDRISI) is an integrated geographic information system (GIS) and remote sensing software
• [OSSIM] (http://trac.osgeo.org/ossim/) - Suite of geospatial libraries and applications used to process imagery, maps, terrain, and vector data.
• [e-Foto] (http://www.efoto.eng.uerj.br/en) - Free and open source digital photogrammetric workstation.
• [Guidos Toolbox] (http://forest.jrc.ec.europa.eu/download/software/guidos/) - Some GDAL functionalities and includes MSPA (Morphological Spatial Pattern Analysis) for connectivity maps.
• [Matlab] (http://www.mathworks.com/products/matlab/) - Multi-paradigm numerical computing environment and fourth-generation programming language.
• [IDL] (http://www.harrisgeospatial.com/ProductsandSolutions/GeospatialProducts/IDL.aspx) - IDL is a programming language used for data analysis and image processing programming.
• [ArcMap Raster Edit Suite] (https://github.com/haoliangyu/ares) - An ArcMap Addin that enables manual editing of single pixels on raster layer.

Geographic Information System

• [ArcGIS] (https://www.arcgis.com/features/) - GIS for working with maps and geographic information.
• [QGIS] (http://www.qgis.org/en/site/) - Cross-platform free and open-source desktop geographic information system.
• [Terraview] (http://www.dpi.inpe.br/terraview_eng/index.php) - GIS application built using the TerraLib GIS library.
• [gvSIG] (http://www.gvsig.com/en) - Free and open source GIS.
• [GRASS GIS] (https://grass.osgeo.org/) - GRASS (Geographic Resources Analysis Support System) is a free and open source GIS.
• [ILWIS] (http://52north.org/communities/ilwis/ilwis-open) - Integrated Land and Water Information System (ILWIS) is a remote sensing and GIS software.
• [MapWindow GIS] (http://www.mapwindow.org/) - Free and open source desktop geographic information system.
• [MapInfo] (http://www.pitneybowes.com/us/location-intelligence/geographic-information-systems/mapinfo-pro.html) - Commercial GIS.
• [Geomedia] (http://www.hexagongeospatial.com/products/producer-suite/geomedia) - Commercial GIS.
• [uDig] (http://udig.refractions.net/) - A GIS Framework for Eclipse (Java) and also a GIS software.
• [SAGA] (http://www.saga-gis.org/en/index.html) - SAGA is the abbreviation for System for Automated Geoscientific Analyses.
• [Manifold System] (http://www.manifold.net/) - Commercial GIS.
• [AutoCAD Map 3D] (http://www.autodesk.com.br/products/autocad-map-3d/overview) - GIS AutoCAD integration.
• [Smallworld] (https://www.gegridsolutions.com/geospatial/catalog/smallworld_core.htm) - Commercial GIS.
• [OpenJUMP] (http://openjump.org/) - Open source Java GIS.
• [Mapbox Studio] (https://github.com/mapbox/mapbox-studio-classic) - Desktop application for vector tile driven map design.

Web Map Development

• [OpenLayers] (http://openlayers.org/) - Open source AJAX library.
• [Leaflet] (http://leafletjs.com/) - Open-Source JavaScript Library for Mobile-Friendly Interactive Maps.
• [Geomanjas] (http://www.geomajas.org/) - Open source development software for web-based and cloud based GIS applications.
• [Cesium] (https://cesiumjs.org/) - An open-source JavaScript library for world-class 3D globes and maps.
• [geojson-vt] (https://github.com/mapbox/geojson-vt) - A highly efficient JavaScript library for slicing GeoJSON data into vector tiles on the fly.
• [ArcGIS JS App Generator] (https://github.com/odoe/generator-arcgis-js-app) - This is a yeoman generator for ArcGIS API for JavaScript applications.
• [CMV - The Configurable Map Viewer] (https://github.com/cmv/cmv-app) - CMV is a community-supported open source mapping framework. CMV works with the Esri JavaScript API, ArcGIS Server, ArcGIS Online and more.
• [Leaflet.MapboxVectorTile] (https://github.com/SpatialServer/Leaflet.MapboxVectorTile) - A Leaflet Plugin that renders Mapbox Vector Tiles on HTML5 Canvas.
• [Flare Cluster Layer] (https://github.com/nickcam/FlareClusterLayer) - ArcGIS javascript custom graphics layer. Creates clusters and creates flares for clusters.
• [Google Maps API Polyline String Decoder] (https://github.com/mgd722/decode-google-maps-polyline) - Function that will convert encoded polyline strings (as returned by the Google Maps API) into a list of lat/lon pairs.
• [Mapzen Tangram] (https://github.com/tangrams/tangram) - JavaScript library for rendering 2D & 3D maps live in a web browser with WebGL, supports MVT, GeoJSON, TopoJSON.

Web Map Server

• [Geoserver] (http://geoserver.org/) - WMS written in Java and relies on GeoTools. Allows users to share and edit geospatial data.
• [Mapserver] (http://mapserver.org/) - WMS written in C.
• [Mapnik] (http://mapnik.org/) - C++/Python/Node.js library for rendering.
• [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.
• [PGRestAPI] (https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities. AKA: SpatialServer.
• [utilery] (https://github.com/tilery/utilery) - Micro vector tile manufacturing from PostGIS.

Radar

• [PolSARpro] (https://earth.esa.int/web/polsarpro) - Open source radar image data processing software.
• [Sarmap] (http://www.sarmap.ch/page.php?page=sarscape) - Synthetic Aperture Radar processing software.
• [GAMMA] (http://www.gamma-rs.ch/no_cache/software.html) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR).
• [Sentinel Toolboxes] (https://sentinel.esa.int/web/sentinel/toolboxes) - Free open source toolboxes for the scientific exploitation of the Sentinel missions.
• [NANSAT] (https://github.com/nansencenter/nansat) - Nansat is a scientist friendly Python toolbox for processing 2D satellite earth observation data.

Lidar

• [FME Desktop] (https://www.safe.com/fme/fme-desktop/) - FME is an integrated collection of Spatial ETL tools for data transformation and data translation.
• [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.
• [FullAnalyze] (https://code.google.com/archive/p/fullanalyze/) - Handling, visualizing and processing lidar data (3D point clouds and waveforms).
• [DielmoOpenLidar] (http://www.dielmo.com/eng/ficha-tecnologia-software.php?prod=21) - Open source software based in gvSIG for the management of LiDAR data.
• [Global Mapper Lidar Module] (https://www.bluemarblegeo.com/products/global-mapper-lidar.php) - Lidar module for Global Mapper.
• [Fusion] (http://forsys.cfr.washington.edu/fusion/fusionlatest.html) - Python for Lidar data.
• [libLAS] (http://www.liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format.
• [PyLAS] (https://pypi.python.org/pypi/PyLAS) - A python library for reading and writing LAS files.
• [Laspy] (http://laspy.readthedocs.io/en/latest/) - Laspy is a python library for reading, modifying, and creating .LAS LIDAR files.
• [PDAL] (http://www.pdal.io/) - PDAL is a C++ BSD library for translating and manipulating point cloud data.

Geographic Data Mining

• [Weka] (http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks written in Java.
• [GeoDMA] (https://sourceforge.net/projects/geodma/) - GeoDMA is a plugin for TerraView software, used for geographical data mining.

Atmospheric Correction

• [ATCOR] (http://www.atcor.de/) - ERDAS Imagine module.
• [6S] (http://6s.ltdri.org/) - Open source algorithm.

Libraries

• [GDAL] (http://www.gdal.org/) - Geospatial Data Abstraction Library (GDAL) is a computer library.
• [Terralib] (http://www.terralib.org/) - TerraLib is a GIS classes and functions open source library.
• [GeographicLib] (http://geographiclib.sourceforge.net/) - For solving geodesic problems. Implemented in C, C++, Java, Javascript, Fortran, Python and Matlab.
• [Orfeo ToolBox] (https://www.orfeo-toolbox.org/) - Orfeo ToolBox (OTB) is an open-source C++ library for remote sensing images processing.
• [Geolib] (http://www.geolib.co.uk/) - GeoLib is a fast, efficient, computational geometry library available in C++, C# and Java.

Python

• [GeoDjango] (http://geodjango.org/) - Django geographic web framework.
• [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.
• [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.
• [Pandas] (http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
• [Shapely] (https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
• [Cartopy] (http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data.
• [Rtree] (http://toblerity.org/rtree/) - For efficiently querying spatial data.
• [NodeBox-opengl] (http://www.cityinabottle.org/nodebox/) - For playing around with animations.
• [Statsmodels] (http://statsmodels.sourceforge.net/) - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
• [NumPy] (http://www.numpy.org/) - NumPy is the fundamental package for scientific computing with Python.
• [geopy] (https://github.com/geopy/geopy) - geopy is a Python 2 and 3 client for several popular geocoding web services.
• [IPython] (http://ipython.org/) - For a wondering interactive environment in which to play.
• [FreeType] (https://code.google.com/archive/p/freetype-py/) - For converting font glyphs to polygons.
• [PyQGIS] (http://docs.qgis.org/testing/en/docs/pyqgis_developer_cookbook/) - Python for QGIS.
• [Fiona] (http://toblerity.org/fiona/) - For making it easy to read/write geospatial data formats.
• [matplotlib] (http://matplotlib.org/) - Python 2D plotting library.
• [networkx] (http://networkx.github.io/) - To work with networks.
• [PySAL] (http://pysal.readthedocs.io/en/latest/) - For all your spatial econometrics needs.
• [Descartes] (https://pypi.python.org/pypi/descartes) - Plot geometries in matplotlib.
• [PyShp] (https://code.google.com/archive/p/pyshp/) - For reading and writing shapefiles.
• [PyProj] (https://github.com/jswhit/pyproj) - For conversions between projections.
• [Pyncf] (https://github.com/karimbahgat/pyncf) - Pure Python NetCDF file reading and writing.
• [chupaESRI] (https://github.com/johnjreiser/chupaESRI) - ChupaESRI is a Python module/command line tool to extract features from ArcGIS Server map services.
• [GeoPandas] (https://github.com/geopandas/geopandas) - Python tools for geographic data.
• [geojsonio.py] (https://github.com/jwass/geojsonio.py) - Open GeoJSON data on geojson.io from Python. geojsonio.py also contains a command line utility that is a Python port of geojsonio-cli.

PaaS - Platform as a Service

• [Google Maps API] (https://developers.google.com/maps/) - Google's PaaS (Platform as a Service) for Geocoding or analysis/processing services.
• [Microsoft Bing API] (https://www.bingmapsportal.com/) - Microsoft Bing Maps API.
• [OpenStreetMap API] (http://wiki.openstreetmap.org/wiki/API_v0.6) - OpenStreetMap API.
• [Mapbox.js] (https://www.mapbox.com/mapbox.js/api/v2.4.0/) - MapBox Javascript API.
• [Mapbox GL JS] (https://www.mapbox.com/mapbox-gl-js/api/) - MapBox WebGL Javascript API.

SaaS – Software as a Service

• [ArcGIS Online] (https://www.arcgis.com/home/) - ArcGIS Online GIS platform for mapping ans spatial analysis.
• [CartoDB] (https://cartodb.com/) - Cloud computing platform that provides GIS and web mapping tools for display in a web browser.
• [Mapbox] (https://www.mapbox.com/) - Plataform for web map design and manipulation.

DaaS – Data as a Service

• [Apple Maps] (https://mapsconnect.apple.com/) - Apple map service.
• [Google Maps] (https://www.google.com.br/maps) - Google map service.
• [Microsoft Bing Maps] (http://www.bing.com/mapspreview) - Microsoft map service.
• [OpenStreetMap] (http://www.openstreetmap.org/) - OpenStreeMap map service.

Java

• [Geotools] (http://www.geotools.org/) - GeoTools is an open source Java library that provides tools for geospatial data.
• [Geonetwork] (http://geonetwork-opensource.org/) - GeoNetwork is a catalog application to manage spatially referenced resources.
• [JTS Topology Suite] (http://www.vividsolutions.com/jts/jtshome.htm) - JTS Topology Suite is an API of 2D spatial predicates and functions.
• [GeOxygene] (https://sourceforge.net/projects/oxygene-project/) - Provide an open framework which implements OGC/ISO specifications for the development and deployment of GIS applications.
• [Gisgraphy] (http://www.gisgraphy.com/) - Open source framework that offers the ability to do geolocalisation and geocoding via Java APIs or REST webservices.
• [JGeocoder] (http://jgeocoder.sourceforge.net/) - Free Java Geocoder.
• [Spatial4j] (https://github.com/locationtech/spatial4j) - Spatial4j is a general purpose geospatial ASL licensed open-source Java library.
• [Geoapi] (http://www.geoapi.org/) - GeoAPI provides a set of Java language programming interfaces for geospatial applications.
• [Openmap] (https://github.com/openmap-java/openmap) - Open Source JavaBeans-based programmer's toolkit.
• [Apache SIS] (http://sis.apache.org/) - Apache Spatial Information System (SIS) is a free software, Java language library for developing geospatial applications.
• [World Wind Java SDK] (http://worldwind.arc.nasa.gov/java/) - Nasa cross-platform Java SDK.

C Sharp

• [SharpMap] (http://sharpmap.codeplex.com/) - SharpMap is an easy-to-use mapping library for use in web and desktop applications.
• [DotSpatial] (https://dotspatial.codeplex.com/) - DotSpatial is a geographic information system library written for .NET 4.
• [NTS Net Topology Suite] (https://github.com/NetTopologySuite/NetTopologySuite) - A .NET GIS solution that is fast and reliable for the .NET platform.
• [Geo] (https://github.com/sibartlett/Geo) - A geospatial library for .NET

C++

• [GEOS] (https://trac.osgeo.org/geos/) - GEOS (Geometry Engine - Open Source) is a C++ port of the Java Topology Suite (JTS).
• [Capaware] (https://en.wikipedia.org/wiki/Capaware) - 3D terrain representation with multilayer representation.
• [libspatialindex] (https://github.com/libspatialindex/libspatialindex) - C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API.
• [Spatial] (https://sourceforge.net/projects/spatial/) - Spatial is a generic header-only C++ library providing multi-dimensional in-memory containers, iterators and functionals.
• [geojson-vt-cpp] (https://github.com/mapbox/geojson-vt-cpp) - Port to C++ of JS GeoJSON-VT for slicing GeoJSON into vector tiles on the fly.
• [Supercluster] (https://github.com/mapbox/supercluster.hpp) - A C++14 port of supercluster, a fast 2D point clustering library for use in interactive maps.
• [Mapbox GL Native] (https://github.com/mapbox/mapbox-gl-native) - Render Mapbox styles in mobile, desktop, and node applications using C++ and OpenGL.
• [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
• [Mapnik Vector Tile] (https://github.com/mapbox/mapnik-vector-tile) - Mapnik C++ implemention of Mapbox Vector Tile specification.
• [Vector Tiles Producer] (https://github.com/vross/vector-tiles-producer) - Command line tool in C++ to creates vector tiles for a given area at chosen zoom levels using a Mapnik XML.

C

• [Shapefile C Library] (http://shapelib.maptools.org/) - Provides the ability to write simple C programs for reading, writing and updating (to a limited extent) .shp and .dbf files.
• [Libuv] (https://github.com/libuv/libuv) - Cross-platform asynchronous I/O.
• [Datamaps] (https://github.com/ericfischer/datamaps) - This is a tool for indexing large lists of geographic points or lines and dynamically generating map tiles from the index for display.

Ruby

• [Geokit] (http://geokit.rubyforge.org/) - A Ruby gem & Rails plugin for easier map-based applications.
• [Rgeo] (https://github.com/rgeo/rgeo) - RGeo is a geospatial data library for Ruby. It provides an implementation of the Open Geospatial Consortium's Simple Features Specification

CSS

• [CartoCSS] (https://www.mapbox.com/tilemill/docs/manual/carto/) - TileMills language.
• [MapCSS] (http://wiki.openstreetmap.org/wiki/MapCSS) - MapCSS is a CSS-like language for map stylesheets.

Julia

• [RasterIO.jl] (https://github.com/wkearn/RasterIO.jl) - Simple Raster Formats for Julia.
• [OpenStreetMaps.jl] (https://github.com/tedsteiner/OpenStreetMap.jl) - This package provides basic functionality for parsing, viewing, and working with OpenStreetMap map data.

R

• [sp] (https://cran.r-project.org/web/packages/sp/index.html) - Classes and Methods for Spatial Data.
• [rgdal] (https://cran.r-project.org/web/packages/rgdal/index.html) - Bindings for the Geospatial Data Abstraction Library.
• [raster] (https://cran.r-project.org/web/packages/raster/raster.pdf) - Reading, writing, manipulating, analyzing and modeling of gridded spatial data.
• [ggplot2] (http://ggplot2.org/) - ggplot2 is a plotting system for R.
• [ggmap] (https://cran.r-project.org/web/packages/ggmap/index.html) - Spatial Visualization with ggplot2.
• [rgeos] (https://cran.r-project.org/web/packages/rgeos/index.html) - Interface to Geometry Engine - Open Source (GEOS) using the C API for topology operations on geometries.
• [rgrass7] (https://cran.r-project.org/web/packages/rgrass7/index.html) - Interface Between GRASS 7 GIS and R.
• [Rnetcdf] (https://cran.r-project.org/web/packages/RNetCDF/index.html) - Interface to NetCDF Datasets.
• [RSAGA] (https://cran.r-project.org/web/packages/RSAGA/index.html) - SAGA Geoprocessing and Terrain Analysis in R.
• [RODBC] (https://cran.r-project.org/web/packages/RODBC/index.html) - ODBC Database Access.
• [RPyGeo] (https://cran.r-project.org/web/packages/RPyGeo/index.html) - ArcGIS Geoprocessing in R via Python.
• [shapefiles] (https://cran.r-project.org/web/packages/shapefiles/index.html) - Read and Write ESRI Shapefiles.
• [Rgooglemaps] (https://cran.r-project.org/web/packages/RgoogleMaps/index.html) - Overlays on Google map tiles in R.
• [leafletR] (https://cran.r-project.org/web/packages/leafletR/index.html) - Interactive Web-Maps Based on the Leaflet JavaScript Library.
• [maptools] (https://cran.r-project.org/web/packages/maptools/index.html) - Tools for Reading and Handling Spatial Objects.
• [RArcInfo] (https://cran.r-project.org/web/packages/RArcInfo/index.html) - Functions to import data from Arc/Info V7.x binary coverages.
• [Akima] (https://cran.r-project.org/web/packages/akima/index.html) - Interpolation of Irregularly and Regularly Spaced Data.
• [maps] (https://cran.r-project.org/web/packages/maps/index.html) - Draw Geographical Maps.
• [PBSmapping] (https://cran.r-project.org/web/packages/PBSmapping/index.html) - Mapping Fisheries Data and Spatial Analysis Tools.
• [Landsat] (https://cran.r-project.org/web/packages/landsat/index.html) - Radiometric and topographic correction of satellite imagery.
• [spatstat] (https://cran.r-project.org/web/packages/spatstat/index.html) - Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests.
• [splancs] (https://cran.r-project.org/web/packages/splancs/index.html) - Spatial and Space-Time Point Pattern Analysis.
• [plotKML] (https://cran.r-project.org/web/packages/plotKML/index.html) - Visualization of Spatial and Spatio-Temporal Objects in Google Earth.
• [OpenStreetMap] (https://cran.r-project.org/web/packages/OpenStreetMap/index.html) - Access to Open Street Map Raster Images.
• [GEOmap] (https://cran.r-project.org/web/packages/GEOmap/index.html) - Topographic and Geologic Mapping.
• [rworldmap] (https://cran.r-project.org/web/packages/rworldmap/index.html) - Mapping Global Data.
• [rasterVis] (https://cran.r-project.org/web/packages/rasterVis/index.html) - Visualization Methods for Raster Data.
• [spdep] (https://cran.r-project.org/web/packages/spdep/index.html) - Spatial Dependence: Weighting Schemes, Statistics and Models.
• [spacetime] (https://cran.r-project.org/web/packages/spacetime/index.html) - Classes and Methods for Spatio-Temporal Data.
• [geoR] (https://cran.r-project.org/web/packages/geoR/index.html) - Analysis of Geostatistical Data.
• [ecespa] (https://cran.r-project.org/web/packages/ecespa/index.html) - Functions for Spatial Point Pattern Analysis.
• [mapproj] (https://cran.r-project.org/web/packages/mapproj/index.html) - Map Projections.
• [gstat] (https://cran.r-project.org/web/packages/gstat/index.html) - Spatio-Temporal Geostatistical Modelling, Prediction and Simulation.
• [intamap] (https://cran.r-project.org/web/packages/intamap/index.html) - Procedures for automated interpolation.

Node.js

• [Turf.js] (http://turfjs.org/) - Advanced geospatial analysis for browsers and node.
• [JSTS] (https://github.com/bjornharrtell/jsts) - Port of the Java JTS library.
• [Spatial] (https://github.com/troufster/spatial) - A 2d spatial hash module for node.js.
• [PGRestAPI] (https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities.
• [Supercluster] (https://github.com/mapbox/supercluster) - A crazy fast geospatial point clustering library for browsers and Node.
• [SQLite3] (https://github.com/mapbox/node-sqlite3) - Asynchronous, non-blocking SQLite3 bindings for Node.js.

Mobile Development

• [Mapbox Android SDK] (https://www.mapbox.com/android-sdk/) - An open source toolset for building mapping applications for Android devices.
• [Mapbox iOS SDK] (https://www.mapbox.com/ios-sdk/) - An open source toolset for building mapping applications for iPhone and iPad devices.
• [Google Maps API for Android] (https://developers.google.com/maps/android/) - Google maps for Android.
• [Google Maps API for iOS] (https://developers.google.com/maps/ios/) - Google maps for iOS.
• [Nutiteq Maps SDK] (http://www.nutiteq.com/nutiteq-sdk/overview/) - C++ maps library for iOS, Android, Windows Phone and Xamarin with bindings for Java, ObjectiveC and C#.
• [WhirlyGlobe/Maply] (http://mousebird.github.io/WhirlyGlobe/) - Objective C code that is able to read and render vector tiles(and style with mapnik xml) on iOS devices.

Visualization

• [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.
• [P5.js] (https://p5js.org/) - Javascript library that starts with the original goal of Processing.
• [Processing.py] (http://py.processing.org/) - Python mode for Processing.
• [D3.js] (https://d3js.org/) - D3.js is a JavaScript library for manipulating documents based on data.
• [openFrameworks] (http://openframeworks.cc/) - openFrameworks is an open source C++ toolkit for creative coding.
• [Folium] (https://github.com/python-visualization/folium) - Python Data. Leaflet.js Maps.
• [Blender GIS] (https://github.com/domlysz/BlenderGIS) - Blender addons to make the bridge between Blender and geographic data.
• [tippiecannoe] (https://github.com/mapbox/tippecanoe) - Build vector tilesets from large collections of GeoJSON features.
• [Kosmtik] (https://github.com/kosmtik/kosmtik) - Very lite but extendable mapping framework to create Mapnik ready maps with OpenStreetMap data (and more).
• [mplleaflet] (https://github.com/jwass/mplleaflet) - Easily convert matplotlib plots from Python into interactive Leaflet web maps.

Tools

• [TileMill] (https://github.com/mapbox/tilemill) - TileMill is a modern map design studio powered by Node.js and Mapnik.
• [DataPillager] (https://github.com/gdherbert/DataPillager) - Download data from Esri service.

Cheat sheets

• [Fiona-Rasterio-Shapely Cheat Sheet] (https://github.com/sgillies/frs-cheat-sheet) - A cheat sheet for Fiona/Rasterio/Shapely command-line geodata tools.
• [GDAL] (https://github.com/dwtkns/gdal-cheat-sheet) - Cheat sheet for GDAL/OGR command-line tools.
• [PostGIS] (http://www.postgis.us/downloads/postgis21_cheatsheet.pdf) - Cheat sheet for PostGIS.
• [PostGIS 2] (https://gist.github.com/kidpixo/5698476)
• [PostGIS Raster] (http://www.postgis.us/downloads/postgis20_raster_cheatsheet.pdf)

References

• [Essential Python Geospatial Libraries] (http://carsonfarmer.com/2013/07/essential-python-geo-libraries/)
• [GeoJSON] (https://github.com/tmcw/awesome-geojson)
• [Vector Tiles] (https://github.com/mapbox/awesome-vector-tiles)
• [Awesome Spatial] (https://github.com/RoboDonut/awesome-spatial/blob/master/README.md)
• [Awesome SQLite] (https://github.com/planetopendata/awesome-sqlite)
• [Awesome Python] (https://github.com/vinta/awesome-python/blob/master/README.md)