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The GIS Tools for Hadoop are a collection of GIS tools that leverage the Spatial Framework for Hadoop for spatial analysis of big data. The tools make use of the Geoprocessing Tools for Hadoop toolbox, to provide access to the Hadoop system from the ArcGIS Geoprocessing environment. Start out by navigating to samples and following the instructions provided with each sample.There are also tutorials for using the GP tools and aggregation methods.
The tips and tricks here are oriented to BYOD (bring your down data) mapping and OpenStreetMap obliquely. Presentation cartography and basic inventory mapping is the focus here. Spatial analytics is touched upon briefly but is not the main focus. This site makes assumptions that OpenSource GIS mostly means: PostGIS as a spatial data store and Mapnik as a rendering engine, a Mappy CSS styling language like Cascadenik or Carto to setup the layers and their appearance. Interactivity is briefly touched on. Actually embedding the resulting tile assets is briefly touched on.
Tile38 is a in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. It supports spatial index with search methods such as Nearby, Within, and Intersects, Realtime geofencing through persistent sockets or webhooks and lot more.
With the continuous efforts of adjusting search results to focused target audieces, there's an increasing demand for incorporating geographical location information into the standard search functionality. Spatial Solr Plugin (SSP) is a free, standalone plug-in which enables Geo / Location Based Search, and is built on top of the open source projects Apache Solr and Apache Lucene.
This project is a collection of tools for use with the spatial types that are new to SQL Server 2008. This project does not provide an end-user application, but rather a set of reusable functions which applications can make use of. These functions may include data conversion...
CLR CSharp application to render a set of GIS spatial images directly from SQL Server as rowset data using standard T-SQL language extended for simplicity . C# 3.5 32 or 64 bit extension for SQL server 2008
MsSqlSpatial - Spatial Extensions for Microsoft SQL Server 2005 This project conforms to OGC Simple Features Specification for SQL Revision 1.1 and provides other useful features to power your GIS application.
GeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.
Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
This is a component to yield geo spatial services, by implementing OpenGIS specifications which will be accessible through OpenMI interfaces, in order to establish high-level communication with service consumers. A Feature List will be created and updated as the project evolve...
A handy application for viewing spatial data for use with SQL Server 2008. Its is very difficult to visualise a Spatial shape from a set of points, this application allows you to do that very easily. This is a windows forms application that allows you to draw shapes and obt...
MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.
The JUMP DB Query Plugin is an extension for the OpenJUMP GIS platform that allows OpenJUMP users to give arbitrary database queries to retrieve and display geographic feature sets. Spatial databases currently supported are PostGIS, Oracle Spatial, MySQL, and SpatiaLite.
Geographic Resources Analysis Support System, commonly referred to as GRASS GIS, is a Geographic Information System (GIS) used for data management, image processing, graphics production, spatial modelling, and visualization of many types of data. GRASS supports raster and vector data in two and three dimensions. The vector data model is topological, meaning that areas are defined by boundaries and centroids; boundaries cannot overlap within a single layer.
Magellan is a distributed execution engine for geospatial analytics on big data. It is implemented on top of Apache Spark and deeply leverages modern database techniques like efficient data layout, code generation and query optimization in order to optimize geospatial queries. The application developer writes standard sql or data frame queries to evaluate geometric expressions while the execution engine takes care of efficiently laying data out in memory during query processing, picking the right query plan, optimizing the query execution with cheap and efficient spatial indices while presenting a declarative abstraction to the developer.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types.