I often find myself in a situation where I want to work with large areas and datasets of OpenStreetMap data. No matter if you want to use them in a QGIS map or create custom map tiles in Tilemill, with the Overpass API you quickly run into performance issues. Imposm is a great tool to overcome that situation, so you can load OSM extracts (worldfiles in pbf format) with a custom data mapping into a PostGIS enabled PostgreSQL database. The downside: It is hard to set up if you are not a database and system admin guru. This is where…
OpenStreetmap is the fastest growing community mapping project of all times. Beside the “normal” map result, what you can use for your daily navigation through cities and countries like Google Maps, OpenStreetMap allows you to get the geodata and use it for your own ideas and projects (with some licence regulations). For many peoples the difficult part is not getting the data but the usage and adoption. Therefore the Humanitarian OpenStreetMap Team created LearnOSM.org.
HeidiSQL, a free database-client, now supports PostgreSQL/PostGIS in the newest nightly builds. Using HeidiSQL with MySQL was always a pleasure and I often had the feeling that the pgAdmin III client of PostgreSQL is slow and not very user-friendly in some points. Because of this I had to test the difference of performance of these two clients. I don’t want to talk about features and handling because this is on the one hand a matter of taste and on the other hand the support of PostgreSQL is very new in HeidiSQL. Instead, I want to compare some simple SQL-queries in…
A short time ago I’ve posted an article on the installation of QGIS in combination with a PostGIS database in the background. As we all know, Windows is mostly used as OS on a PC so this is the Windowized version. This is a short summary that sums up the article of a site called Boston GIS. I’ll show you how to install QGIS version 1.8 (which will be updated in some days) and PostgreSQL with PostGIS extension and show you the first steps in the import of shapefiles and raster data.
A lot of you out there are probably working on Windows Systems using ArcGIS and I have to admit that the possibilities with ArcINFO in the background and a proper GDB (GeoDataBase) are really big. But let’s be honest: A lot of your tasks are more or less everyday business, right?! So let us have a look on building a GIS workplace using QGIS 1.8 (which will be updated the big way in some days/weeks) and PostGIS which is a spatial enhancement of PostgreSQL.
We have already introduced cartoDB which is a platform for storing, administering and visualizing spatial data. One straight feature of cartoDB is the usage of GeoJSON for exporting their tables. In this tutorial I’ll document a working example on consuming this layer with leaflet. But first we will start with the easy part of creating the table in cartoDB.