My wife and I teamed up to make this map of Denmark on our dining room table out of coffee beans. Could spend a lot more time on it, but for a quick effort I am pretty pleased.ĭay 15: Map made without using a computer So I created this quick view of Møns Klint, Denmark with an OSM overlay. The polygon of where I have travelled on planet Earth. On this day I used it to create my personal bounding box. Natural Earth data is a great public domain map dataset for cartography on global and national scales. I also produced a standard choropleth version Here I played with extruding the population density of Denmark by Kommune into 3D space. This topic is covered in the upcoming Data Visualization with QGIS course. Møns Klint in 3D from the Danish height model. There were some data challenges in matching disparate data sources for inputs (the “meat map”) that caused some visible borders in the east. So here I created a joy ploy of the of the mountain range where I used to live - the Sandia Mountains outside of Albuquerque, New Mexico.Ī model I developed to show Potential Mountain Lion Habitat in the western US. So for example black and white maps are valid here. I obtained the data from the Danish Maritime Authority Day 9: MonochromeĪ monochromic image is composed of one color (or values of one color). I generated the tracks from 9 million AIS data points from 4.November, 2021.
With this theme, a Dannebrog map of Denmark seemed the obvious choice :)Ģ4 hours of ship traffic around Denmark. I obtained Denmark wide OSM data from Geofabrik and extracted the routes using OSMFilter. Here the challenge was to Use OSM to map something that is interesting to you.
Here I mappped the number of windmills in Denmark by hexagons. Live layer effects are also covered in the upcoming Data Visualization with QGIS course.
#Earth daymap series#
So I created a series of internal buffers, and then applied a Drop shadow to them at the feature level. This technique is covered in my Data Visualization with QGIS course offered next February.įor polygons, I was inspired by how close to the sea you are anywhere in Denmark. Day 1: Pointsįor the first day, I computed the centroid of all Denmark’s islands.įor lines, I made a map of the Roads of Denmark styled with a Feature Blending Mode of Addition. So I present my results here! I produced 90% of them using QGIS and all with open source software. Instructions for the final day were to spend the day either by 1) collecting your entries from theĬhallenge to a common gallery, 2) writing a tutorial or a blog post on one of your maps or 3)Ĭreate a map from a theme you have chosen yourself. In this year’s challenge, over 9000 maps were produced, by 1200+ cartographers from 90 countries! Next year I hope there are more Danish entries! It was notĪlways easy to find the time, but it was a lot of fun, and I learned more mapping tools and discovered new datasets! This year I committed myself to completing the entire challenge, with a focus on Denmark. Importantly it is not a competition and there are no winners. The challenge is to produce a map each around that theme and post it to social media with the #30DayMapChallenge hash tag. It takes place during the month of November. Several years ago Topi Tjukanov developed the 30 Day Map Challenge. A description of the daily maps produced by Kurt Menke during the 30 Day Map Challenge
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