Ecodiv.earth

For reports, presentations, and websites, I regularly need maps: a raster layer, contextual boundaries, a legend, and maybe a logo.

Introduction If I have to be honest, keeping project hours is not really my thing.

One of the reasons I like Trilium Notes is that it is more than a place to write things down.

Introduction Cloud masking is one of those steps you cannot really avoid when working with satellite data.

Introduction Perceived safety in public spaces is closely linked to intervisibility, the ability of people to see and be seen by others.

Introduction The NDFF (Nationale Databank Flora & Fauna) holds over 200 million verified observations of plant and animal species from the Netherlands.

I recently needed to work with the Basiskaart Groen en Grijs (Basemap Green and Impervious Surfaces).

I’ve been moving away from proprietary cloud services such as OneDrive and Google Drive.

The problem GRASS GIS offers powerful tools for working with temporal data.

Description The QGIS graphical modeler makes it straightforward to link together different operations and algorithms from the toolbox, allowing you to build custom models for a variety of spatial tasks.

When working with raster data in QGIS, manually entering raster resolution and extent repeatedly across various processing steps can become tedious.

I’m pleased to introduce new GRASS GIS add-ons that integrate Maxent-based species distribution modelling (SDM) with GRASS GIS spatial analysis tools.

I am a happy user of Logseq, a note-taking or Personal Knowledge Management (PKM) application.

A global canopy height map Meta and the World Resources Institute launched a global map of tree canopy height at a 1-meter resolution, allowing the detection of single trees on a global scale.

The r.in.ahn addon In the previous post, I introduced the ‘Actueel Hoogtebestand Nederland’.

The AHN The ‘Actueel Hoogtebestand Nederland’ (AHN, version 4) is the latest digital elevation model (DEM) of the Netherlands.

Introduction Bing Maps recently released a data set with the roads around the world.

Introduction Boxplots are a great way to get a quick overview of the distribution of your data, to compare the distributions of different data sets, and to identify outliers in your dataset.

Introduction I am a huge fan of RMarkdown to create e.g., tutorials, presentations and of course this very website.

The tool I recently had to upload a picture for an ID card.