Tiled map layers are an important part of the digital mapping stack, since Google and others introduced their slippy maps quite some time ago. There’s a huge ecosystem of (open source) software for creating and hosting tiles for your custom mapping project. In this tutorial, I want to share what I learned while setting up a tileserver for our projects at Geolicious.
About four years ago, Daniel wrote a short article on how to publish a GeoTiff as maptiles and how to use this in a leaflet map. I would like to refresh that knowledge and apply this to the current release of the NASA images (“Black Marble 2016”) which were published last week and also compare the images using some LeafletJS magic.
The co-founder of webkid.io and interactive developer Moritz Klack recently shared a tweet about the Pixel Map Generator which is a nice addition to my recent “comparison” of different web mapping tools like AGOL, cartoDB and others. So let’s check it out.
Some months ago I published qgis2leaf which enables a QGIS user to publish a webmap the easy way. It was integrated into qgis2web which offers a leaflet and a openlayers based output for qgis users. But what about R users? Jean-Francois recently published a longer post about GPX tracks and to publish them using some heavy coding. So let’s welcome leaflet for R: an easy leaflet webmap exporter.
I always watched those stunning examples created with D3 by Mike Bostock, I liked Ralf’s blog posts here and I always thought to myself: get yourself together and create one for your own. But to say it straight: I haven’t figured it out… But yesterday I stumbled upon this nice, not so short post of MappingGIS.com and I would like to share my learning process here. So let’s start …
When I started to work on QGIS2leaf about one year ago it was a nice idea and my first real dive into Python programming and using the possibilities of pyqgis. So what is the current state and where are we going? Please, come and take a look: Happy Birthday QGIS2leaf!
To map excel data onto a print- or webmap is one of the most needed and chosen data preparations. Companies and scientists are often highly interested in located table datasets on maps. In this how to I’ll show you, that this job could be done with free and open source software like QGIS.
When it comes to webmapping there are thousands of possible markers you can choose from but when it comes to markers depending on the data, which is inside the shapefile, possibilities are more limited. In leaflet you can define different icons according to the attributes of your data by defining the icon url in an attribute. Let me show you, how to use the data in each feature to create a custom icon like a piechart marker using R.
A priorized project of eGovernment Switzerland Usage and exchange of geodata is fostered by geo.admin.ch in a significant way. The Federal geoportal is operated by the Federal Office of Topography, swisstopo, on behalf of the coordinating body for Federal geographical information with the aim to implement the Geoinformation Act. The purpose of this Act is to ensure that geodata relating to the territory of the Swiss Confederation is made available to the Federal, Cantonal and municipal authorities, to industry and commerce, to academic and scientific institutions and to society at large, for the broadest possible use, in a sustainable, up-to-date,…
Dear fellows, the blog post from CartoDB was published two days ago but it is important for every GIS/webmapping person to know: Map views are not limited anymore for all CartoDB users. Here their sum-up statement: Yep, you read that right: free and unlimited map views for all CartoDB accounts.
This week the MOOC will concentrate on patterns and hypothesis about patterns. Exercises will concentrate on “hotspots” and patterns in crime analysis. So the keyword in this lessons might be visualization. As it often defines our visual footprint the MOOC also focusses on classification approaches.