Digital Geography

GDEM V3 vs SRTM 1: a comparison

Some time has past since I last wrote a DEM comparison, comparing ALOS World with SRTM 1 and GDEM V2 with SRTM 3. But as NASA and METI released the lates version of the ASTER GDEM dataset, I will compare this once again for a certain area in central Mongolia. But this time, the competitor will be SRTM 1.

QGIS2web with interactive filters

It’s been a while, since I last developed things for qgis2web. To be honest: I lost focus on the whole project after we decided to merge qgis2leaf with the openlayers exporter back in 2015. Tom Chadwin and many others did a great job and managed to develop the state of-the-art plugin when it comes to publishing content right from within QGIS. But as I was lucky I had the chance to develop some interesting things for QGIS2web in the last weeks.

ArcGIS REST API and QGIS: a practical example

The ArcGIS REST API provides some interesting endpoints which can be used for free with a developer account. But how to do this in QGIS as you might not have a licensed ArcGIS Desktop license at hand: A short example using isochrones or “service areas” as Esri calls them.

Places of Interest in QGIS: HQGIS

The OSM based QuickOSM plugin offers a great way to download some data from OSM. As an alternative I am developing HQGIS which offers an easy way to get geocoded addresses, routes, isochrones and POIs for your everyday work based on the HERE API and the HERE datasets. Now the plugin offers support for the processing toolbox as well. Follow me on a short insight into POI search around desired addresses.

Geocoding with Microsoft’s Azure Maps

API’s are getting more and more important as some (maybe the majority?) of GIS users don’t want to handle large datasets, don’t want to care about addresses and geo-coordinates, don’t want to create an own routing algorithm… As most of you might use Google, OSM or HERE for geocoding purposes I would like to introduce Azure Maps for this as well.

Short Note: CodingBat or Python, stupid!

Currently I am trying to improve my coding skills in Python. Of course you can read some books, attend some Udemy course but in the end it boils down to practical training. Codeacademy is most likely the first place to go to for practical learning. Now there is a new, quite un-fancy boy in town: CodingBat

Colaborative Working in PostGIS

The last days I needed to work with other geoenthusiasts on a PostGIS database. Unfortunately, as you upload a layer from QGIS you will be the owner of the new created table and no one is able to alter it by default. Here I show you, how to change this using some “trigger functions” and some shared roles.

Short Note: export layers to PostGIS with Processing

When using QGIS along with PostGIS you might want to publish data directly from inside QGIS into your PostGIS database. This is not only convenient as you don’t need to change the software of use but also easier as it only takes a drag and drop in QGIS instead of any commandline/fancytool. Yet it comes with a disadvantage: the number of inserts from QGIS into the db is limited to 200 per transaction. So it will take some time to insert a bigger dataset with 150.000 points or so. So how to overcome this?

Vessel tracking the python way

Let’s assume you like cruise ships, tanker, ferries or you’re so fortunate and own a fleet of vessels cruising over the oceans. But where the heck are the ones you’re interested in. First you can visit MarineTraffic and search for the Vessels you’re interested in. But what if you want to keep track of those vessels or if you want to put them on your “own” map. Now Python comes in handy and I’ll show you how to gather coordinates and put them on a map using the ArcGIS API for Python.

Query OpenStreetMap in ArcGIS: OSMQuery

QUickOSM is my weapon of choice when it comes to downloading data from OSM in QGIS. The tool offers an easy way to access tag/key combinations with a designated spatial query. As I was asked how many bus stops Berlin has, I was interested in a similar approach for ArcGIS. So I created my own little tool: OSMQuery.

Copernicus, Sentinel and your favourite GIS

The Copernicus Program provides an interesting alternative data source for your work with Landsat data… Sentinel images: Copernicus will deliver an unprecedented volume of free data, provide new operational services and foster new business opportunities and job creation. The data itself is collected since 2014 (Sentinel 1A) and the operation is scheduled to deliver data till 2020 at least. But how to get the data into the GIS of your choice.