pygeometa is a new open source Python package to generate metadata for geospatial datasets. Users can manage simple configurations to generate geospatial metadata in a variety of formats. Features: simple configuration: inspired by Python’s ConfigParser extensible: template architecture allows for easy addition of new metadata formats flexible: use as a command-line tool or integrate as a library pygeometa is available ...

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 ...

The pycsw team proudly announces the release of pycsw 1.8.0 codenamed "data". This release powers the data CSW endpoints. data is the home of the U.S. Government's open data.

The 1.8.0 release brings significant features, enhancements and fixes to the codebase, including:

•  support for PostgreSQL Full Text Search
•  support for repository filtering
•  support for PostgreSQL schemas other than 'public'
•  implement database connection pooling for WSGI
•  more robust native model
•  fix csw:AnyText population to be finer grained for OGC data services
•  fix UTF-8 handling in configuration

The full list of enhancements and bug fixes is available here. 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 (more formally announced). 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). The source code is available here. Testers and developers are welcome. The pycsw developer team.

Bloggage update: Three months into posting data on my web service, I created a short list of free data for Great Britain on my Map Catalog called GB Freebie. While that post details the offering, let's review here some lessons learned in using Mapcentia stack on AWS. It further illustrates how relatively easy it is to post freely available datasets "with a little help from my friends"... So go ahead and explore more from many other free data sources!

Supergeo Technologies, the leading global provider of complete GIS software and solutions, released the enhanced GIS management tool, SuperGIS DataManager 3.2, providing users with rich and powerful data management functions.

SuperGIS DataManager 3.2 is a useful GIS data management tool, supporting users to read and handle diverse formats of vector or raster data such as GEO, SHP, DXF, DWG, DGN, ECW, SID, TIF, JPEG and so forth. In addition, it also allows users to rapidly copy, move, and delete the files in the data management tool.

Key features of SuperGIS DataManager 3.2 include improved geodatabase management, the integration with SuperGIS Toolkit, supporting to search layers by file name, and importing/exporting metadata. Therefore, users are able to analyze and process data more efficiently.

Several commonly used geodatabase are supported by SuperGIS DataManager 3.2, such as Personal Geodatabase (MDB), Microsoft SQL Server, Oracle Spatial and Postgre SQL. Users are allowed to browse and manage files within geodatabase and export layer data to the database.

SuperGIS DataManager 3.2 is the GIS data management tool provided by SuperGIS Desktop 3.2. After installing SuperGIS Desktop 3.2, users can apply SuperGIS DataManager 3.2 freely.

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About Supergeo

Supergeo Technologies Inc. is a leading global provider of GIS software and solutions. Since the establishment, Supergeo has been dedicated to providing state-of-the-art geospatial technologies and comprehensive services for customers around the world. It is our vision to help users utilize geospatial technologies to create a better world.

Supergeo software and applications have been spread over the world to be the backbone of the world’s mapping and spatial analysis. Supergeo is the professional GIS vendor, providing GIS-related users with complete GIS solutions for desktop, mobile, server, and Internet platforms.

Bloggage update: My previous post on Standards and Metadata stated how careful documentation and appropriate metadata high-grades any information that is shared online by giving origin, context and other information. It helps build bridges and I quipped a well-known tear down this wall that also closed my second last post on free data and apps.

Bloggage update: It took five days (after hours) to stand up, learn, tweak and display my East Anglia Fenlands project on Mapcentia's web service. It started with a GISuser group post on LinkedIn on Monday, I used my Amazon Web Service free EC2 trial and GeoCloud2 under beta, and by Friday I had it working and styled. No small thanks to Martin Hogh's original work and help, the result is a simple yet modern and pleasing web map. Not only can I serve up the results of my round-trip Ordnance Survey polygon corrections, but I can also serve up my East Anglia Fenlands project quickly and effectively.

Bloggage update: Over a year ago I QC'd UK Ordnance Survey data for East Anglia, and sent the polyline spike and kickback errors to the Agency, who posted the corrections this year. They noted the errors I reported fell below their own QC criteria, but they invited me to retest their updated dataset.  If results were very good in, with 25 errors out of 1777 polygons, they were even better in the update at only 1 spike out of 1779 polygons! Again, making public data available does help spur on data improvements, and online data validation helps identify errors quickly and efficiently. This makes it easier for the public to communicate, and for data custodians to high-grade their holdings.

Bloggage update: More and more free data are available that are quality-controlled and verifiable. Guardian Data Blog's @smfrogers (now at Twitter) was quite sanguine about this: "Comment is free, but facts are sacred". This reflects the geo-industry's credo is "say what you want, but ensure your data's Triple-A rating: available, accurate and auditable."

Guardian Data posted Great Britain's train station data, and they used Google Fusion Tables to post some of the data. I downloaded the data set, mapped it against UK post code data from Doogal UK to place stations at post code centerpoints, and classified it by year and frequency. UK Ordnance Survey County and District data, and NOAA GSHHS coastal outline subset completed the picture. The maps were created on ArcMap for Home Use. then posted on arcgis. giscloud loader for ArcMap data was then used to post it online here and below, together with USGS SRTM web map service for background.

This is yet another example where posting data and making it publicly available can move forward map making through mashups of various data sources. The key proviso, however, is that data sources are acknowledged all the way. Not only will it allow auditing and referral, but it also allows others to create more of the same according to their particular expertise. Isn't that, after all, what crowdsourcing is all about?

The  pycsw  team  announces  the  release  of  pycsw  1.6.0.
The  1.6.0  release  brings  numerous  features,  enhancements  and  fixes  to  the  codebase,  including:
  *  Nabble  community  forum  now  available  via  OSGeo  
  *  fix  broken  connection  in  pycsw.admin.optimize_db
  *  native  PostGIS  geometry  support
  *  new  community  section  on  website 
  *  Web  Accessible  Folder  (WAF)  harvesting  support
  *  added  spatial  ranking  for  spatial  queries
  *  added  lxml  3  support
  *  fixes  for  new  OGC  CITE  tests
  *  added  support  for  SOS  2.0.0  harvesting
  *  added  support  for  SOS  1.0.0  harvesting
  *  added  database  specific  unit  tests
  *  added  support  for  nested  OGC  Filter  queries
  *  fixed  ISO  output/safeguarding  extent  elements
  *  fixed  parameterization  of  OGC  Filter  queries
  *  fixed  fulltext  search  to  dump  only  XML  element  values
  *  added  flexibility  to  pycsw.admin.setup_db  to  handle  use  cases  from  calling  applications,  like  specifying  extra  columns,  skipping  SFSQL  setup,  etc.
  *  added  support  for  ISO  19115-2  (gmi)  harvesting
  *  FGDC,  Atom,  and  DIF  are  now  core  supported  outputschema  formats,  and  do  not  need  to  be  explicitly  set  in  configuration
  *  added  CIDR  notation  support  for  CSW  transactions
  *  enhanced  link  support  when  harvesting  OWS  endpoints
  *  fix  tighten  Dublin  Core  writer  when  checking  on  dumping  XML
  *  fixed  harvesting  logic  for  unsupported  typenames
  *  fixed  GetRecords  typename  handling  to  _not_  behave  like  a  record  filter,  but  as  a  query  model
  *  harvesting  support  for  RDF  Dublin  Core
  *  fixed  Harvest  operation  parameter  checks  in  HTTP  GET  mode
  *  added  timeout  flag  to  pycsw-admin.py  post_xml  command
  *  continuous  integration  testing  (using  travis-ci)
  *  modular  Python  logging  capability
  *  paver  implementation  for  developer  tasks

This  release  also  moves  pycsw  forward  as  an  OSGeo  project  in  incubation.
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   (more  formally  announced).  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:
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Testers  and  developers  are  welcome.
The  pycsw  developer  team.