Archives for posts with tag: spatio-temporal data

Today I have the chance to present at the first developer forum in the context of the ESRI Development Center (EDC) programme. The workshop has the topic “Space & Time“, and brings together developers and users from both companies/public agencies and universities to talk with each other about ongoing development for spatio-temporal analysis. A focus is the exchange about how to integrate different technologies.

On the first day there were presentations about concepts of space and time in GIS, applications and different research projects. It was really interesting to bring researchers and users together, and we had good discussion, imho also because all people have a developer background in at least ArcGIS or R. We also had a little bar camp and discussed about integration of R and ArcGIS, which I find has a high potential not only comparing analysis features, but from the possibilities that ArcGIS could offer in the dissemination are – imagine uploading an R script (maybe wrapped in Python/ArcPy code) to an ArcGIS Server and immediately having a WMS with you analysis output… We concluded that a survey has to be done about the users benefits for both communities.

On the second day there is a hands-on workshop with R on the one hand and ArcGIS on the other – and this is where I come in and present sos4R as a tool to import spatio-temporal data in R. Here I will actually not give a long presentation but prepared an R script including. Building upon that Edzer Pebesma will do some spatio-temporal analysis with that. And there you’ll not only get nice images but also a introduction to the package spacetime.

You can find the script files on the EDC page of the Open Geostatistics community.

The topic of today’s post looks ahead in the project a little bit. Within the 52° North Geostatistics Community we currently design a model for spatio-temporal data in R. In other words, how one can save and easily access and query information from a common data structure for data with both a spatial and a temporal component.

This naturally relates to the sos4R project, as it would be great to return exactly these classes as the result of a query to a sensor observation service. On the one side, I do not have to implement these classes alone, on the other side I can count on the R community to develop transformation functions from such a common data model into data structures that can be the basis for a manifold of analyses. I see these output formats as an important part for the acceptance of sos4R in the community.

Our efforts are at a very early stage, but I hope I will be able to contribute as much as I can. We started with an examination of the available R packages for time series and time formats and we think we can use some of them (even if only as orientation). Whether we want to be dependent on one of these packages or rather provide conversion functions is still part of the discussion.

You can check out the current status (not much at the moment despite a graphic with the class structure!) of the package sptX from the 52° North SVN here and participate via the geostatistics mailing list. The goal is to provide classes that are compatible with sp (class conversion etc.) and support various time series and spatial data formats, both regular as well as irregular kinds. sos4R will probably one of the first applications of this package.