Recent Geonews

pycsw 1.10.0 released

The pycsw team announces the release of pycsw 1.10.0.The 1.10.0 release brings significant features, enhancements and fixes to the codebase, including:

  • support OGC OpenSearch Geo and Time Extensions standard
  • support for Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH)
  • support spatial dateline queries
  • better support for geospatial links via the Python geolinks library
  • fix CSW harvesting to harvest full records
  • various fixes to OGC Filter handling
  • ISO harvesting: capture all keywords / keywords sets
  • ISO harvesting: support gmd:distributorTransferOptions
  • GetRecords: fix maxrecords casting
  • fix limit / offset queries for Django-based backends
  • freetext searching: make non PostgreSQL FTS-based queries more like FTS
  • fix date handling for ISO output
  • add libxml2 version output in admin tools
  • return distributed CSW queries in order
  • support ISO-based CSW metadata harvesting

The full list of enhancements and bug fixes is available at

pycsw is an OGC CSW server implementation written in Python.

pycsw fully implements the OpenGIS Catalogue Service Implementation Specification (Catalogue Service for the Web). Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation.

pycsw allows for the publishing and discovery of geospatial metadata. Existing repositories of geospatial metadata can also be exposed via OGC:CSW 2.0.2, providing a standards-based metadata and catalogue component of spatial data infrastructures.

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.

Explore the power of ArcGIS Geodatabase

The geodatabase is the common data storage and management framework for ArcGIS. It combines “geo” (spatial data) with “database” (data repository) to create a central data repository for spatial data storage and management. It can be leveraged in desktop, server, or mobile environments and allows users to store GIS data in a central location for easy access and management.

Learning ArcGIS Geodatabases is a comprehensive and practical guide that is ideal for readers who are interested in learning about ArcGIS. The book is packed with real-world examples showcasing the use of ArcGIS Geodatabase to build mapping applications in web, desktop, and mobile. Readers will be comfortable with datasets, annotations, and relationship classes, making it easier to migrate from a legacy database to an ArcGIS geodatabase. This will help create a sturdy design that can sustain large edits and decrease maintenance.

This book is aimed at geospatial developers who want to work with ArcGIS geodatabases as well as manage them efiiciently. Having knowledge of building a geodatabase from scratch isn’t necessary. This book is ideal for those who want to use ArcGIS geodatabase for the first time, or for those who want to migrate from their existing legacy database to a geodatabase.

Batch Geonews: OpenStreetMap Contributions, QGIS Cloud, Google ‘The Cartographer’, O’Reilly Book, and much more

Here’s the latest geonews in batch mode.

On the open source / open data front:

On the Google front:

In the everything-else category:

In the maps category:

OpenLayers 3.0 Released

This is major news. The open source OpenLayers library is one of the most widely used web mapping software. After a complete overhaul of the venerable 2.x branch, OpenLayers 3.0 has been released.

From the announcement: “This release includes a ton of new features such as an easier to use API as well as improved vector rendering and image manipulation. [...]

While the new official website is much nicer and modern, I expect more content (e.g. documentation) in the future.

Batch Geonews: Google Drone Delivery, Galileo Satellites Failures, 100 New 3D Cities for Bing Maps, 1M NYC Buildings in OSM, and much more

Here’s the recent geonews in batch mode.

On the open source / open data front:

On the Google front:

In the everything-else category:

In the maps category: