Working with a desktop GIS might be a good choice for geodata-experts, GIS-people in general and everyone who is inside the fields of geosciences. If you don’t want to struggle with a desktop mapping software or you “just want to create a map” for your publication, business data, website or professional service the following online mapping solutions might be the one-stop-shop for your needs.
Python is a well established script language in the GIS/geodata world. And as a Facebook friend asked how to read csvs with Python I thought about “How to convert a csv to a shp with Python?”. Keeping in mind that most GPS solutions and many internet tools offers a csv export and it’s common in any stats/spreadsheet program this can be a handy solution for your everyday life. See my solution here…
I was playing around with ArcPY and tried to recreate a version of the qgis2leaf plugin just for ArcGIS just to get to know that ArcGIS doesn’t seem to have native support for GeoJSON. So I’ll not show you how to build a leaflet map from within ArcGIS but I would like to show you some basic tasks in ArcPY by exporting a point shapefile to a CSV.
There are so many applications out there but they probably share one thing: export your data as a XXX-delimited table. And it’s also very easy to create a comma-separated text file out of it. You also have some lat/lon values in this table? Great! Let’s make a heatmap with leaflet.
When it comes to certain tasks the usage of leaflet can be tricky. Of course it claims not to be the ultimate webmapping solution but one of the sleekest ones. But when it comes to csv files and reading data from them I always found it hard to implement given solutions listed in the plugins section of leaflet.
In this tutorial I’ll show you, how to combine text information with spatial information using the open source software QGis. You can easily download and install QGis from the following Source: QGIS DOWNLOAD PAGE.
As we are running several projects besides this blog we ran across CartoDB. CartoDB is more or less a nice GUI that serves you either a table of your data or a map that refers to this data. As a user you register yourself and you are able to use the service for free if one can waive the feeling of privacy.