PostGIS

Heroku Now Supports PostGIS 2.0

Heroku has just announced support for PostGIS 2.0.

https://blog.heroku.com/archives/2013/4/30/heroku_postgres_geospatial_support_now_available

[Editor's note: Heroku is a "SQL Database-as-a-Service"]

 

OpenJUMP Version 1.6.1 Released

Open Jump 1.6.1 released on 12 April 2013!!!

Great lightweight PostGIS geom viewer. Now can write back to PostGIS too!

http://sourceforge.net/projects/jump-pilot/files/OpenJUMP/1.6.1/

Version 1.6.0 New Features

  • adding support for GeoTIFF with transformation matrix georeferencing courtesy of Nicolas Ribot
  • add arrange view horizontally and vertically to the view menu
  • add a PostGIS writer including 5 options to create a PostGIS table, to insert rows or to update an existing table.
  • add a "selection" parameter option to RunDataStoreQueryPlugIn
  • add Dynamic Attributes based on beanshell snippets + persistence in openjump project files.
  • add Tools > Generate > Create Point Layer from Attribute Table
  • add Tools > Edit Attributes > Join Table... to attach attributes from an one layer to another layer based on a unique ID field
  • add 6 plugins derived from Noder plugin available in LayerView context menu
  • add Merge selected features in place in LayerView context menu (FR 3506380)
  • add Offset curve plugin
  • add View > Map decoration > NorthArrow plugin
  • add densifier function in Tools > Analysis > Geometry functions (FR 3516240)
  • add Tools > Edit Attributes > Add 3D Geometry Attributes plugin
  • add Tools > Edit Attributes > Add Geometry Attributes plugin

[....]

Jump, jump everybody jump.

Open Source Geonews: HSLayers, Proxy4OWS, the Worst of OpenStreetMap, AP moving to TileMill + Leaftlet, and more

Still in my geonews catching up process, here's the open source-related geonews not shared yet.

CartoDB: Map, analyze & build applications with your data

Vizzuality announces the launch of CartoDB 1.0 (cartodb.com), an open source platform to map, analyze and build location aware apps with your data in the cloud.

Import your data in a click. Mashup datasets. Create beautiful maps. Use CartoDB to explore and discover new relationships in your data. Publish and share your work. Enjoy.

Journalists, scientists, developers and data explorers can use CartoDB to create dynamic maps with ease, and with v1.0 have access to a whole world of data to explore from OpenStreetMaps.

With CartoDB dynamic rendering you can create truly interactive visualizations using HTML5, real-time maps and location aware mobile apps. CartoDB is Open Source, you are not locked into any vendor platform.

CartoDB allows you to use your data layers with all popular providers (Google Maps, Bing, MapQuest) or with free sources like OpenStreetMaps. Thousands of users like NASA, The Wall Street Journal and the United Nations are already using CartoDB.

Batch Geonews: Landsat 5 Suspended, Wikipedia Mobile Switch to OpenStreetMap, Your Facebook Connections Map, Vertical Datums, and much more

It's Easter and I find myself aggregating geonews for you - don't you see how much I love you ;-) Expect less news this week since I'll be participating to the FOSS4G-NA conference. So here's the latest geonews in batch mode.

In the open source and open data front:

In the miscellaneous category:

In the maps category:

PostGIS 2.0 Released

This is major news: after 26 months of development, the open source geospatial database PostGIS 2.0 has been released. PostGIS is one of the best spatial database system there is. It even has been recently identified as better than Oracle Spatial.

The new features:

  • Raster data and raster/vector analysis in the database
  • Topological models to handle objects with shared boundaries
  • PostgreSQL typmod integration, for an automagical geometry_columns table
  • 3D and 4D indexing
  • Index-based high performance nearest-neighbour searching
  • Many more vector functions including
    • ST_Split
    • ST_Node
    • ST_MakeValid
    • ST_OffsetCurve
    • ST_ConcaveHull
    • ST_AsX3D
    • ST_GeomFromGeoJSON
    • ST_3DDistance
  • Integration with the PostgreSQL 9.1 extension system
  • Improved commandline shapefile loader/dumper
  • Multi-file import support in the shapefile GUI
  • Multi-table export support in the shapefile GUI
  • A geo-coder optimized for free US Census TIGER (2010) data

Batch Geonews: GDAL Virtual Formats, Google Map Maker in France, Esri File Geodatabase API 1.2, Bing Maps New Look, and much much more

Here's the recent geonews in batch mode. Again an unusually long edition.

From the open source and open data front:

From the Esri front:

From the Google front:

From the Microsoft front:

In the miscellaneous category:

In the maps category:

MyGeoCloud ties PostGIS, MapServer, TileCache and OpenLayers together

MyGeoCloud.com is a new OpenSoure project and a web service. It offers geospatial storage, WMS and WFS-T services for accessing data and transactions. Besides that it offers a built-in web mapping client and online editing of data. But MyGeoCloud is also a platform on which you can build your own location based web applications using a JavaScript API.

The core component of MyGeoCloud is the PostGIS database software, which is used for storage and geospatial operations. MapServer is used for map rendering and for tile caching TileCache is used. OpenLayers is used for the web map clients. The WFS-T service is implemented in the code base.

The goal is a all-in-one solution for storage, geospatial operations, geospatial web services and web mapping.

Test the project here: http://beta.mygeocloud.com/ and get the source code here: https://github.com/mhoegh/MyGeoCloud

PostGIS vs Oracle Spatial: PostGIS Wins

Unless you're new here, you've heard of PostGIS several times. It's really hard to find documentation about spatial database benchmarks since, if I'm not mistaken, proprietary software licenses often prohibit publicly sharing such benchmarks (am I right?). And I guess there's at least one good reason for this: doing fair benchmarking is difficult to accomplish. But here's one (currently available) benchmarking report comparing PostGIS (PostgreSQL) and Oracle Spatial.

From the conclusions of the 46-pages report: "From the experimental results that we saw, we can conclude that Postgres performs better than Oracle 11g both in the Cold Phase and Warm Phase. Though in few queries Oracle 11g performed better but on the whole Postgres overpowered Oracle 11g. In the warm phase in 3 out of 4 queries Postgres performed significantly well, from this we can conclude that Postgres has better automatic memory management capabilities and page replacement policies. [...] Since Postgres uses the underlying GEOS (Geometry Engine - Open Source) library functions for implementing the geometric operations whereas Oracle 11g implements them on its own, and since in majority Postgres performs well, we can conclude that GEOS geometric algorithms are more efficiently designed than Oracle 11g. And also Postgres planner is more efficiently designed to take advantage of any available indexes to use in queries for achieving better performance whereas in Oracle 11g we saw that we have to specify them explicitly through functions."

Here's what Paul Ramsey of the PostGIS fame has to say about it: "Methodologically there are two obvious issues: one is that the Oracle database was on Windows while the PostGIS database was on Linux; the other is that neither database got any tuning, they were both installed and run with default parameters. However, this is one of the nicer comparisons I have read: concise, focussed and with enough technical detail to evaluate what's going on."

Batch Geonews: 180,000 Free OrbView-3 Scenes, Car AR Driving, PostGISonline, Bing Maps Updates, Autodesk and Pitney Bowes Alliance, Obesity and Car Travel, and much much more

​This batch mode edition is unusually long. It covers the past month and a bit more. Yes, that's way too much and I won't try to repeat the experience ;-) Here's what I considered pertinent enough to share with you. Exceptionally, in some cases I haven't gave attribution to the source of the news, thank you for your comprehension.

On the geospatial open source front:

On the Esri front:

On the Microsoft front:

On the remote sensing front:

On the GNSS / GPS front:

In the miscellaneous category:

In the maps category:

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