The pycsw team announces the release of pycsw 1.4.0.
The 1.4.0 release brings numerous features, enhancements and fixes to the codebase, including:
* WSGI server support
* harvesting support for WFS, WCS, WPS, and other CSW endpoints
* support for Open Data Catalog integration
* enhanced support for GeoNode 2.0 (GeoNode development branch)
* support for distutils setup/install, which enables pycsw to be installed as a library
* support for PyPi
* support for displaying counts for GetDomain requests based on queryable properties
* support for requestId request parameter
* fix GetRecords sortby parameter support for HTTP GET
* support for W3C XLink 1.1 migration
* support for Debian and Ubuntu packaging
* support for sorting GetRecords requests by geometry area
* support for PostGIS enabled PostgreSQL
This release also marks our migration to GitHub for source code management, issue tracking and wiki.
The full list of enhancements and bug fixes is available at https://github.com/geopython/pycsw/issues?milestone=2&page=1&state=closed
pycsw is an OGC CSW server implementation written in Python. pycsw implements clause 10 (HTTP protocol binding (Catalogue Services for
the Web, CSW)) of the OpenGIS Catalogue Service Implementation Specification, version 2.0.2.
pycsw allows for the publishing and discovery of geospatial metadata. Existing repositories of geospatial metadata can be exposed via OGC:CSW
2.0.2. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X).
Source and binary downloads:
The source code is available at:
Testers and developers are welcome.
The pycsw developer team.
This is my tentative to catch up the geonews since my mid-August holidays. Here they are!
On the open source / open data front:
On the Esri front:
On the Google front:
On the Microsoft front:
In the everything else category:
In the maps category:
Via the OGD blog I learned about OpenGeoDa, an open source software program that serves as an introduction to spatial data analysis. The initial (closed) version was released in 2003 and they claim about 70,000 users. While we mentioned GeoDa before, it's really the first time we share about its existence with our users.
Here's what it is: "It is designed to implement techniques for exploratory spatial data analysis (ESDA) on lattice data (points and polygons). The free program provides a user friendly and graphical interface to methods of descriptive spatial data analysis, such as spatial autocorrelation statistics, as well as basic spatial regression functionality. The latest version contains several new features such as a cartogram, a refined map movie, parallel coordinate plot, 3D visualization, conditional plots (and maps) and spatial regression."
Still catching up my August holidays, here's the recent geospatial open source and open data geonews.
In general news:
In software news:
The GeoServer team is happy to announce the release of GeoServer 2.2-RC3.The release is available for download from:
This release comes with assorted bug fixes and small improvements, and aims to be the latest RC before the final release. Notable changes:
The entire change logfor the 2.2-RC3 release is available in the issue tracker:
A very special thanks to all those who contributed bug fixes and improvementsto this release.
–The GeoServer Team
I'm back from holidays - thank you for your patience. Expect several days for me to catch up geospatial news and share them with you. You can always submit anything pertinent directly.
Last November we mentioned the major 2.0 release, and now, Mapnik 2.1.0 has been released. Mapnik still is "a free Toolkit for developing mapping applications. Above all Mapnik is about making beautiful maps. It is easily extensible and suitable for both desktop and web development."
Here's the highlights for 2.1.0: "
heightfor Buildings, and
placement-type="list". See the docs at the bottom of this page.
With Slashgeo using Drupal since 2010, I recently found Cartaro, an open source geospatial CMS.
The overview: "Cartaro is the web mapping platform that brings the power of the best open source geospatial components into a content management system. With Cartaro you are able to set-up and run your own geo-enabled and OGC standards-compliant website with not more than a few clicks. The geospatial components used in Cartaro are PostGIS, GeoServer, GeoWebCache and OpenLayers. All those are managed from within the powerful CMS Drupal.
Cartaro is for organizations and individuals that need to run a light-weight spatial data infrastructure (SDI) without the need for extensive configurations and much individual programming.
Cartaro is also for all websites that focus on CMS features while also having to handle geospatial data."
If you head to the project's page on Drupal, only a dev version for D7 is currently available, but it looks in very active development. We did mentioned other Drupal geospatial projects in the past, including the CartoDB Drupal module.
The Geotools community is pleased to announce the availability of Geotools 8.0 for download on sourceforge.
If you are using Maven, this release is deployed to our OSGeo Maven Repository:
For more information on setting up your project with Maven, see the Quickstart (included in the user guide documentation pack above).
Geotools 8.0 is a stable release made in conjunction with GeoServer 2.2-RC2 and GeoWebCache 1.3-RC4. Currently there are no additional updates to 2.7.x planned.
Geotools 8.0 comes feature packed compared to its 2.7.x releases. Highlights include:
More information can be found by checking out the proposals made for this release here.
For those migrating from GeoTools 2.7, additional instructions are available here.
We would like to take the opportunity to thank all the developers, users and contributor that have helped to make this release possible.
The GeoTools Community
Here's the official list of features, and the summary from the Mandown blog: "With Esri Maps for Office, business professionals can quickly create interactive maps from their data in a Microsoft Excel spreadsheet. These live maps, which can be based on any geographic component, such as customer locations or sales by ZIP Code, can be simply added to Microsoft PowerPoint presentations or shared through Esri’s cloud mapping platform, ArcGIS Online. Maps shared through ArcGIS Online can then be distributed throughout an organization or embedded into mobile or web applications."
Of course this isn't the first solution to build maps directly from MS Excel, but the first deep integration with MS Office from Esri.
We mentioned several times the beautiful maps from Stamen Design, and you can now use them directly in QGIS.
From the entry: "Stamen’s maps are amongst the most creative and beautiful OpenStreetMap visualizations and it would be great to have them as base maps in QGIS. No problem! Nathaniel Kelso has already done all the work for us [...] It adds the possibility to load Stamen’s Watercolor, Toner and Terrain tiles into the QGIS project"