I’ve been having a conversation for a while with @kamal_hothi and @aschiff on maps, schools, census, making NZ data available, etc. This post documents some basic steps I used for creating a map on ethnic diversity in schools at the census-area-unit level. This “el quicko” version requires 3 ingredients: Census area units shape files (available […]
In this post you will learn how to: Create your own quasi-shape file Plot your homemade quasi-shape file in ggplot2 Add an external svg/ps graphic to a plot Change a grid grob's color and alpha *Note get simple .md version … Continue reading →
La Vie des Idées a mis en ligne, ce matin, un court texte, écrit par Baptiste Coulmont (a.k.a. @coulmont) et Joël Gombin (a.k.a. @joelgombin), auquel j’ai très modestement contribué, intitulé ”Un homme, deux voix. Le vote par procuration“. Alors que sur son blog, Baptiste a rajouté pas mal d’information sur le vote par procuration en France (et le contexte général, en particulier pourquoi autant de partis courtisent certaines personnes en les incitant…
This is a problem I have encountered many times where the goal is to take a sample of spatial locations and apply constraints to the algorithm. In addition to providing a pre-determined number of K clusters a fixed size of elements needs to be held constant within each cluster. An application of this algorithm is […]
We recently uploaded on http://hal.archives-ouvertes.fr/hal-00725090 a revised version of our work, with Ewen Gallic (a.k.a. @3wen) on Visualizing spatial processes using Ripley’s correction: an application to bodily-injury car accident location In this paper, we investigate (and extend) Ripley’s circumference method to correct bias of density estimation of edges (or frontiers) of regions. The idea of the method was theoretical and di#cult to implement. We provide a simple technique – based…
*Edit: I made a video! Dispersal is a key process in many domains, and particularly in ecology. Individuals move in space, and this movement can be modelled as a random process following some kernel. The dispersal kernel is simply a probability distribution describing the distance travelled in a given time frame. Since space is continuous,
