Recent Posts

Versio: Distributed Version Control for Spatial Data, and GeoGig News (formerly GeoGit)

Spatial data versioning is important to lots of geospatial applications. We mentioned GeoGit (now named GeoGig) quite a few times since 2012. This week Boundless announced a private beta (you can request an invitation) of Versio, a website for distributed version control of spatial data.

First, you may want to see how GeoGig (formerly GeoGit) has matured, it’s open source and essentially “[w]ith GeoGig, users are able to import spatial data into a repository where every change to the data is tracked. These changes can be viewed in a history, reverted to older versions, branched in to sandboxed areas, merged back in, and pushed to remote repositories.”

Regarding Versio itself, “With Versio, we want to support as many editing workflows as possible, both online and offline. So we’ve made the platform client-agnostic to support traditional desktop GIS software as well as web, mobile, or custom applications built on the Versio API”.

Slashgeo is a proud media partner of FOSS4G-Asia 2014

We are happy to inform you that Slashgeo will be a proud media partner of the upcoming Free & Open Source Solutions for GIS (FOSS4G) – Asia conference held in Bangkok, Thailand, 2-5 December 2014!



FOSS4G-Asia 2014 aims to bring together FOSS4G users and developers worldwide and foster closer interactions with and amongst Asian communities in order to share ideas for improving software and applications. The Bangkok conference will cover all aspects of FOSS4G, Open Data and Open Standards, with a particular focus on exchanging experiences between FOSS4G users and developers and providing first-hand information on FOSS4G for developing national/local spatial data infrastructures in Asian countries. FOSS4G-Asia 2014 also commemorates ten years since the FOSS-GRASS User Conference was held at Faculty of Engineering, Chulalongkorn University, Thailand between 12-14 September 2004.

Workshops will also be offer on QGIS, ZOO project, MapMint, InaSafe, pgRouting, OpenStreetMap and OpenLayers 3.

Slashgeo will publish articles during and after the conference on what has been highlighted in presentation, workshop and innovative ideas on the geospatial open source, open data & open standard  front in Asia and elsewhere.

GC2 is improved

Mapcentia has had a busy summer where a lot of new GC2 features have been implemented to meet requests from an increasing number of enterprise users. Below are the most significant:


You can now create sub-users for all your team members working on the same PostGIS database. A sub-user is a user with limited privileges to selected layers, which is managed by the parent-user. A sub-user can be granted one of four privileges to a layer:

None: The layer doesn’t exist for the sub-user.
Only read: The sub-user can see and query the layer.
Read and write: The sub-user can edit the layer.
All: Read, write and change properties like style and alter table structure.

Privileges are also applied to WMS and WFS-T. Sub-users can choose their own HTTP authentication password for the web services.

A sub-user can also be assigned its own schema, where the sub-user can create layers of its own. If a team member needs to manage some data sets, you can create a sub-user and a schema for the member. The member can when grant layer privileges to other sub-users, which makes it very easy to share data across a team.

Track changes

Another novelty is “Track changes” in layers. This feature enables you to keep the history of edits in the layer. It works through the online editor and WFS-T clients like QGIS. This way you don’t lose valuable data and you can track team members edits.

You can read more about Track changes here

New front page and dashboard

We’ve revamped the front page and the dashboard. If you run your own GC2 server it’s now possible to brand with own corporate logos and text.

Cluster map

You can now turn a point dataset into a cluster map in a couple of seconds. Clustering happens server side and works just like any other layer. Clusters can be classified and styled with MapServers advanced styling. The Class Wizard will create a basic cluster map for you.

Online editor improvements

The online editor has gotten some useful improvements. You now set feature filtering before loading, which makes it easier to partially load huge datasets. A new “Quick draw” function will take you directly to the draw tool without loading data. This way you can add new features to a dataset without actual loading data first.

Schema drop/rename

Schemas can now be dropped and renamed. If you rename a schema, keep in mind that the layer ids will change, whereas they comprise both schema and layer name.

Layer move

Layers can now be moved between schemas. As for schema renaming, moving a layer will change the id.

Create query views

You can now through the Database tab create a view over a SELECT query, which gives a name to the query that you can refer to like an ordinary table. The query is run every time the view is referenced in a query. Views are a very powerful tool and now they are easy to create.

Google Add-on

After a long wait, Google has accepted the MapCentia GC2 Add-on for Docs. Now you can insert your maps directly into a Google Doc. Try it

40 Maps that Explain the Internet

Spatially Adjusted pointed me to a collection of maps published last June named 40 maps that explain the Internet. The Internet now being integrated into most of our daily lives, these maps do say a lot about the current state and how we got there.

Their introduction: “The internet increasingly pervades our lives, delivering information to us no matter where we are. It takes a complex system of cables, servers, towers, and other infrastructure, developed over decades, to allow us to stay in touch with our friends and family so effortlessly. Here are 40 maps that will help you better understand the internet — where it came from, how it works, and how it’s used by people around the world.”

But really head to the website to have a quick look at the maps themselves, from the growth of the network, to pornography consumption by U.S. state, to tweets according to the time of day.

map-D: GPU-based Geospatial Database Analysis

The company launched last year but we never mentioned map-D before. map-D claims to offer the fastest database thanks to directly leveraging graphic cards (GPU).

From their website: “Map-D can query, analyze and visualize billions of data points in milliseconds. From gigabyte to terabyte, we marry SQL with the world’s fastest data processing pipeline. Complex machine learning, GIS and 3D animation on live streaming data are all simple with Map-D. […] Map-D is a vertically-integrated end-to-end solution for data querying, visualization and analysis. It uses the immense computational power of next generation-parallel hardware like graphics processing units (GPUs) and Intel Many-Core processors (such as the Phi card) to form the the backbone of a data processing and visualization engine, marryings the data processing and querying features of a traditional RDBMS with advanced analytic and visualization features.”

Anyone wants to provide feedback on map-D or GPU-based geospatial databases?