Once again, I am continuing my role as a mentor in a National Science Foundation (NSF) Research Experience for Undergraduate program. This year we’ve decided to build a QGIS plug-in for terrain analysis, as it is embarrassingly parallel (slope, aspect, etc.). We are doing four things as we generate slope for different size digital elevations models:
- A pure python implementation (for an easy plug-in)
- A serial-based C++ implementation (as a baseline for a non-parallel solution)
- A pyCUDA implementation (using the GPU for parallel processing)
- A C++ based parallel solution using the GPU
We plan to put our results on a shared GitHub site (we are in the process of cleaning up the code) so that people can start experimenting with it, and use our example to begin generating more parallel solutions for QGIS (or GDAL for that matter).
Here are some early results: Continue reading
Today I want to introduce you to another one of my really great undergraduate students: Jeff Scarmazzi. Jeff participated in the SUSRC conference that I posted about previously, but unfortunately, his photo and poster got deleted from my camera, so I never posted information about his project – I may eventually get around to posting Jeff’s poster, but for now it will have to wait.
Jeff is an exceptional student, and at this point can run circles around me with PostGIS, Leaflet, and Postgres – at the moment, I am still reserving the right to say that my spatial SQL is better than his, but that may not be true. And, now that Jeff secured a prestigious internship with NASA over the summer, once the Fall rolls around it definitely won’t be true!
What I wanted to show you was a short presentation that Jeff gave on his work with Postgres and PostGIS in my Advanced GIS class. For this project I had students create a geodatabase with ArcGIS that includes domains, subtypes, topology rules, etc. Jeff decided to extend his work on this assignment and recreate the same kind of features using Postgres and PostGIS. This presentation is just a small piece of what Jeff and his fellow students (Austin Barefoot, Carl Flint, and Jordan Roose) created, and focuses specifically on writing triggers and creating roles to automate and quality check digitizing procedures using Postgres.
The presentation is only about 15 minutes long, and you’ll be amazed to see what you can do with PostGIS to creating robust editing rules.
Warning Shameless plug: In case you wanted to learn how to implement PostGIS in an enterprise setting, check out my online course here. Also, I have another course on how to write spatial SQL with PostGIS here.
The Open Source Implementation
This is a continuation of Mark Balwanz’s blog posts on his creation of web mapping sites using both ESRI and Geoserver. Today he will talk about his experience creating the site using open source technology.
After completing the ESRI version of my project (Web GIS Duel: Part 2), I turned my attention to the open source version of my project. I have some experience with Open Source GIS from previous graduate courses and have spent some time working with Leaflet in the past, but this project was definitely going to be a learning experience for me. Below you will find a list of all the technology I used to create this web mapping application.
UMD provided me with enrollment numbers, and we are getting a pretty full class. However, a few people on the “outside” have asked for a little more depth into what will be covered. So, I put together a quick outline on each of our class meetings.
Keep in mind, in addition to the class meetings, there will be weekly discussions and short assignments. Each class session is 2.5 hours long. Those sessions colored orange are classes that I will be on the campus live (please note that this is tentative, and the dates may slide around a bit), giving the lecture and assisting students in the lab. The other class sessions are a combination of online video lectures or in laboratory exercises. For those with full time jobs, most of the material can be performed at home on you own devices, although being in the lab with the TA will be helpful.
Again, please feel free to email email@example.com to get more information about signing up for the class. Continue reading
I am putting up a new course on udemy.com about learning GDAL – and, it is going to be FREE. I’ve been so happy with the uptake and positive responses by so many people who have signed up for my other courses that I wanted to give back to the community.
I should be done with the course in a few more days, but I wanted to show you one of the lessons on creating an ETL routine using ogr2ogr – I think this is really cool. You can find a link to the lecture here.
A friend recently asked me to help him generate polyline shapefiles with Z and M values that he could deliver to a customer. The problem was, the software he was using supported the import of Z and M values, but did not support the export of those files. The other problem was, he has zillions of data tables that he needed to export!
Fortunately, PostGIS allows us to create Polyline ZM data rather easily. The next part was to figure out how to get it exported to a shapefile. So, here goes:
Assume you have a table with 4 columns: lineID, Z, M, and geometry. The geometry field is a point feature that represent vertices on a line. The lineID separates all those points by which line they are part of, and the Z and M values are, well, Z and M.
Make the Polyline ZM
The SQL command to create a 4D line is:
ST_Y(geometry), z, m)
) AS g
GROUP BY lineid;
In this case, I am making a line (ST_MakeLine) as a series of X (ST_X), Y (ST_Y), Z, and M values. Grouping the results of the query by the lineid allows me to create a line for each set of points. Continue reading