Bilan de l’atelier cartographie libre sur Open street map | Montpellier Territoire Numérique Vous &ecirctes ici: Accueil // Événements, Opendata // Bilan de l’atelier cartographie libre sur Open street map Le 15 décembre dernier s’est tenu le premier “atelier Données” organisé par la Ville de Montpellier dans le cadre de son programme Montpellier Territoire Numérique. Cet atelier pratique pensé comme une formation – gratuite et accessible à tous – a permis au public présent de rentrer de plain-pied dans la collecte et la création collective de données. Petite fabrique de services urbains Parmi les actions portées par le programme Montpellier Territoire Numérique, l’initiative d’un portail open data a permis de récolter déjà plus de 50 jeux de données. Ces données publiques facilement téléchargeables sont mises à disposition pour permettre aux citoyens, entreprises, associations, d’innover et de créer des services urbains pour leur lieu de vie. Bilan de l’atelier cartographie libre sur Open street map | Montpellier Territoire Numérique
GeoVISTA Studio Project
Cartographie, cartes vectorielles, fonds de cartes - InterCarto

Cartographie, cartes vectorielles, fonds de cartes - InterCarto

Un grand choix de cartesvectorielles à télécharger Des cartes vectorielles complètes,esthétiques et modifiables à volonté Vos cartes sur mesure
Processing geo information in Wikipedia articles - Creative Coding - Tutorial Processing geo information in Wikipedia articles - Creative Coding - Tutorial Introduction This tutorial is on how to lookup and geocode places in a Wikipedia article and visualize those with the help of Processing. It gives a basic overview on the related topics, and provides mutiple Processing examples, below. This brief article, as well as the examples were created for the GeoWiki workshop at the Interface Design department of FH Potsdam. Placemaker Yahoo Placemaker is a "geoparsing web service" that enrichs content with geographic metadata by extracting places from unstructured texts.
This page presents a variety of calculations for latitude/longitude points, with the formulæ and code fragments for implementing them. All these formulæ are for calculations on the basis of a spherical earth (ignoring ellipsoidal effects) – which is accurate enough* for most purposes… [In fact, the earth is very slightly ellipsoidal; using a spherical model gives errors typically up to 0.3% – see notes for further details]. Distance This uses the ‘haversine’ formula to calculate the great-circle distance between two points – that is, the shortest distance over the earth’s surface – giving an ‘as-the-crow-flies’ distance between the points (ignoring any hills, of course!). The haversine formula1 ‘remains particularly well-conditioned for numerical computation even at small distances’ – unlike calculations based on the spherical law of cosines. The ‘versed sine’ is 1-cosθ, and the ‘half-versed-sine’ (1-cosθ)/2 = sin²(θ/2) as used above. Calculate distance and bearing between two Latitude/Longitude points using Haversine formula in JavaScript

Calculate distance and bearing between two Latitude/Longitude points using Haversine formula in JavaScript

Graphics Atlas: Welcome Graphics Atlas is a sophisticated resource that presents a unique, object-based approach for the identification and characterization of prints and photographs. Recently Added objects: Begin exploring our study collection by selecting the following tools: Graphics Atlas: Welcome
Home | HTML | Python | JavaScript | ActionScript | Flex | JSON | XML This is a resource to help you incorporate ISO 3166-1 country names and their corresponding ISO 3166-1-alpha-2 country codes into your applications. ISO 3166-1, as part of the ISO 3166 standard, provides codes for the names of countries and dependent territories, and is published by the International Organization for Standardization (ISO). The official name of the standard is Codes for the representation of names of countries and their subdivisions – Part 1: Country codes. (Wikipedia) Data source: ISO English country names and code elements. ISO 3166-1 country names and corresponding ISO 3166-1-alpha-2 codes ISO 3166-1 country names and corresponding ISO 3166-1-alpha-2 codes
Acetate | GeoIQ Developer Download Style from GitHub Acetate is a new way of thinking about basemap tiles. Made in conjunction with Stamen Design and 41 Latitude, it allows you to layer pieces of the basemap throughout your visualization. We think what we came up with is quite beautiful, but if it’s not to your tastes all the stylesheets and code is opensource so you can roll your own. For developers, GeoIQ has released the stylesheets and code to create the Acetate tiles. Acetate | GeoIQ Developer
GeoPlanet Explorer GeoPlanet Explorer Welcome to the GeoPlanet Explorer. Here you can explore the geographical information provided by Yahoo in the GeoPlanet API and data set. Simply enter a location in the form above and submit it to get detailed information about the place you are looking for - including its ancestors, siblings, children and other relationships. Here's the information about the location you requested. Click any of the links to reload this page to learn more about this location.
This open-source application maps the information that your iPhone is recording about your movements. It doesn't record anything itself, it only displays files that are already hidden on your computer. Download the application Read the FAQ

petewarden/iPhoneTracker @ GitHub

petewarden/iPhoneTracker @ GitHub
CartoMouv' Cartomouv' (Cartographie du changement, cartographies en mouvement) rassemble des chercheurs mus par un double intérêt pour : - la représentation graphique des temporalités et des dynamiques spatiales - les nouvelles techniques permettant davantage d'interactivité et d'animation dans la production des cartes. Animé par la volonté d'échanger et de partager autour de la production des cartes animées, Cartomouv a construit des outils et collecté des travaux théoriques et pratiques qu'il souhaite mettre à disposition des chercheurs et des étudiants francophones qui s'interrogent sur ces nouvelles représentations cartographiques. Sur ce site vous trouverez : CartoMouv'
There’s an increasing amount of useful packages that allow for spatial analysis in python. Having said that, actually drawing a map remains relatively tricky, here I am sharing a few of the methods that I have come up with recently to help in this area. Firstly, let’s consider the basic set of prerequisites that you should have installed to do some useful things in Python. Numpy and Scipy – easy_install Numpy / easy_install Scipy Numeric Python and Scientific Python vastly extend the scientific programming capabilities of Python. Numpy adds the array() object which, for numeric matters, is far superior to the standard Python List, as well as numerous mathematical methods. Volunteered Geographic Information » Drawing maps with Python
Over the past few months we have been harvesting geospatial data from Twitter with the aim of creating a series of new city maps based on Twitter data. Via a radius of 30km around New York, London, Paris, Munich we have collated the number of Tweets and created our New City Landscape Maps. New York New City LandscapeImage by urbanTick using the GMap Image Cutter / New York New City Landscape -Use the Google Maps style zoom function in the top right corner to zoom into the map and explore it in detail. Explore areas you know close up and find new locations you have never heard of. Click HERE for a full screen view. New City Landscapes - Interactive Tweetography Maps
Logiciels libres ▶ Sciences ▶ 18 logiciels libres Indispensables Des logiciels qu'il ne faut pas rater. World Wind Et le monde est beau ! Sciences : Cartographie
Recent talk: Exploratory Data Analysis: Tasks, Tools, Principles, invited talk at HPI in Potsdam, 27/09/2005 (PDF, 1297 KBytes) Teaching materials: Lecture 1: Interactive maps lection1.pdf, 3698 KBytes Lecture 2: Dynamically linked views lection2.pdf, 901 KBytes Lecture 3: Analysis of spatial time series lection3.pdf, 1340 KBytes Lecture 4: Computationally enhanced visualisation lection4.pdf, 1436 KBytes Lecture 5: Multi-criteria decision making lection5.pdf, 269 KBytes Examples (some of the dasets used in the book) For all requests concerning the software please refer to and Fraunhofer Institute IAIS. GeoVisualization
GSD GIS Manual
GoGeo - The portal to spatial data and information