There are different ways of creating choropleth maps in Python. In a previous notebook, I showed how you can use the Basemap library to accomplish this. More than 2 years have passed since publication and the available tools have evolved a lot. In this notebook I use the GeoPandas library to create a choropleth map. As you’ll see the code is more concise and easier to follow along.
New York City’s urban forest provides numerous environmental and social benefits, and street trees compose roughly one quarter of that canopy. This map shows the distribution and biodiversity of the city’s street trees based on the last tree census.
In the last two decades, states have relied on private contractors to support military operations in conflict situations. Without the necessary democratic scrutiny and public debate, Private Military and Security Companies (PMSCs) have provided services that traditionally were performed by national armies and public authorities –such as interrogation of detainees, protection of military assets, training of local armed forces, collection of intelligence and the performance of defensive and even offensive military activities-.
In March 2008, I started comparing OpenStreetMap in England to the Ordnance Survey Meridian 2, as a way to evaluate the completeness of OpenStreetMap coverage. The rational behind the comparison is that Meridian 2 represents a generalised geographic dataset that is widely use in national scale spatial analysis. At the time that the study started, it was not clear that OpenStreetMap volunteers can create highly detailed maps
Anyone can edit OpenStreetMap. Here you can learn how LearnOSM provides easy to understand, step-by-step guides for you to get started with contributing to OpenStreetMap and using OpenStreetMap and using OpenStreetMap data. If you are interested in running an OpenStreetMap workshop, check out the LearnOSM trainer resources.
Just a few hours after the 7.0 magnitude earthquake hit Haiti in January 2010, a group of collaborators from the OpenStreetMap community began collecting all sorts of topographical data about the country – roads, towns, hospitals, government buildings. Within forty-eight hours high-resolution satellite imagery taken after the earthquake became available, and within a month over 600 people had added information to OpenStreetMap of Haiti.
This online map quickly became the default basemap for a wide variety of responders – search and rescue teams, the United Nations, the World Bank, and humanitarian mapping organizations such as MapAction.
Nacida del trabajo de entidades, medios de comunicación y colectivos integrantes de la coalición Defender a quien Defiende, es también una herramienta de visibilización y análisis de las vulneraciones de los derechos humanos cometidas por cuerpos policiales y agentes de seguridad privada en el Estado español, especialmente en contextos de protesta social (derechos de reunión y manifestación prioritariamente).
Los pictogramas son imágenes claras y esquemáticas que informan, señalizan y permiten elaborar colectivamente lecturas complejas sobre un territorio. Estos más de 200 dibujos pueden utilizarse para potenciar la investigación colaborativa, pues ayudan a representar situaciones y casos emblemáticos, permiten establecer rápidamente vínculos, identificar figuras clave, reseñar prácticas; y favorecen la visibilización de alternativas de organización y transformación territorial.