Audience
Individuals in need of an GIS solution
About PostGIS
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. In addition to basic location awareness, PostGIS offers many features rarely found in other competing spatial databases such as Oracle Locator/Spatial and SQL Server. PostGIS can utilize the faster GiST building support API introduced in PostgreSQL 14. If compiled with recently released GEOS 3.10.1 you can take advantage of improvements in ST_MakeValid and numerous speed improvements.
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Easy to use GIS software for Windows desktop, laptop, and tablet computers at the lowest price. Create, analyze, and publish spatial data. Import location data from Excel spreadsheets or csv files using coordinate data or by street address. Unlimited geocoding support. Supports reading and editing common GIS formats such as shapefiles and raster images. In addition, Simple GIS Client comes with powerful editing features plus data wizards to access freely available data from the USGS, US Census Bureau, and OpenStreetMap. Easily create heat maps, perform spatial and buffer analysis and create professional maps. Also supports, GPS tracking, geocoding, routing, and navigation. Highly customizable via integrated VB editor with access to hundreds of properties and methods. Perfect GIS software package for small business, freelance or individuals needing GIS on a budget.
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GeoPandas
GeoPandas is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. GeoPandas is a community-led project written, used and supported by a wide range of people from all around of world of a large variety of backgrounds. GeoPandas will always be 100% open source software, free for all to use and released under the liberal terms of the BSD-3-Clause license.
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Agile GIS
Agile GIS enterprise-level web mapping allows users to integrate and re-use data in a wide variety of formats, making it easier to share and publish geographic information. It’s a user-friendly interface that promotes self-service and guides non-expert users through geospatial datasets, allowing you to process advanced GI tasks without relying on specialist support. Our GIS software lets you define a context for each user, giving them access to the tools and data sets defined by their role and permissions. Responsive, multi-device applications and tools. User-friendly interface. Publish and expose data via Web Services WFS, WMS and WMTS. Import spatial data from a wide range of formats, GML, GeoJSON, TAB, SHP, KML, DXF,GPX etc. Import data from spatial databases such as PostGIS, SQL Server, Oracle Spatial etc. Download and create new files in different spatial formats. It allows conversion of formats. Full editable capabilities (create new features, update and delete).
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Kinetica
A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.
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PostGIS
postgis.net
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