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Geographic Information Systems in the Cloud

Geographic Information Systems in the Cloud
Related:  GIS

Map Makerpedia: A Worldwide Community of Mapping Knowledge The collective expertise of the Google Map Maker community has benefitted millions of people who use Google Maps. Users have helped put cities, road networks, and universities on the map for the first time in over 187 countries and regions. Now, users have the ability to contribute more than their mapping edits; they can also share their experiences, knowledge, and local expertise. Map Makerpedia homepage Map Makerpedia is a new crowdsourced guide for Google Map Maker that features lessons, articles, and tutorials. Alongside the Lat Long Blog and Map Your World community, Map Makerpedia is part of Google’s effort to highlight the contributions of individuals and organizations. Students at the University of Ibadan in Nigeria are using Map Makerpedia to showcase their campus mapping project. Mapping in groups at the University of Ibadan in Nigeria Map Makerpedia features a ‘Maps 101’ section, which puts Map Maker tutorials in a lesson-based form.

GIS Cloud Starts HTML5 Mapping Revolution | GIS HTML5 Mapping Engine At GIS Cloud, we were always inspired to push online mapping beyond it’s borders. When we started building GIS Cloud a few years ago our vision was, and still is, to move the entire GIS industry into a browser i.e. into the Cloud. Because custom maps can be quite complex and difficult to handle we had to build certain technologies from scratch. Among those is our own vector and raster map engine. At first, we used Adobe Flash as the output format. Flash delivered great performance, but had two major problems: it’s not a web standard and it isn’t properly supported on all devices. As of now, HTML5 will be the default GIS Cloud map engine, through which we plan to deliver the full GIS experience right in your browser. Even if your map has thousands or millions of features, you can now experience it with high user experience right in your browser! Who likes caching map tiles? HTML5 Canvas – ideal for map rendering One of the biggest benefits of vector mapping is interactivity.

Esri Solutions For Deploying Mobile GIS Esri offers users a host of solutions, designed to be used from PC, web and mobile clients, however, lately there’s definitely huge interest in the mobile ecosystem. The company actually offers 5 solutions they bill as “mobile” offerings. These include ArcGIS for Win Mobile, ArcPad, ArcGIS for Windows Phone and ArcGIS Desktop – each has it’s benefits, price point, and target audience/user. From Esri… Each of these technologies provides a specific set of capabilities that meets the needs of different end-user application requirements. Trade-offs in software and hardware capabilities, mobile OS, price, size, device ruggedness, and battery life help determine which of these Esri technologies are best suited for your organization’s size, workflow, project scope, and/or development scenario. For a little more clarification on the mobile solution offerings you might check out this recently published Q&A See Also:

Carte des destinations - Plaisir de Partir - Aéroport Nice côte d'Azur Réservez votre WEEK-END à VENISE au départ de Nice Carnet d'INSPIRATIONS au départ de Nice : nos idées WEEK-END ! Réservez votre WEEK-END à LISBONNE au départ de Nice Réservez votre SEJOUR à LONDRES au départ de Nice prevnext Carte des destinations au départ de Nice Découvrir Take Me Out To the Ballgame - Hitting a “Home Run” on Store Site Selection Summary: Jim Stone, prinicpal of Chain Store Advisors and former CEO of geoVue provides his thoughts on the correlation between baseball and store site selection. Is it expertise, "gut feel," or do you stick by the numbers. You'll have to "step up to the plate" and read this article to find out more. It’s hard to miss the similarity between baseball and site selection, right? “That store is a home run.” It’s About the Numbers Baseball is a numbers game. However, if you look at the correlation between batting statistics and winning percentage, a completely different story emerges. Chain store real estate has some similar elements. It’s Not Just About the Numbers Let’s consider another interesting part of baseball: catching a fly ball. So how does an outfielder know how to run down a fly ball? How does a real estate deal maker know whether a piece of dirt will be a successful store location? Ed. note: This article originally appeared on Jim Stone's blog, realanalogies.

Media Welcome - Editeur de plate-formes de réservation multi-fournisseurs pour le tourisme et le voyage de loisirs. Resastar® met, à la disposition de ses utilisateurs, des composants logiciels spécialisés permettant de monter des sites Internet d’e-tourisme rapidement et facilement. Les sites Internet ainsi créés utilisent les dernières technologies pour une expérience Internaute riche et interactive. Parmi ces composants, on peut citer : Moteur de recherche Liste de résultats Carte interactive Fiche produit Pages de recherche de disponibilité Réservation en ligne Paiement en ligne Panier d’achat Fiche destination Fiche POI Encart marketing Diaporama (photo/vidéo) Affichage d’articles Visite virtuelle Ecriture/affichage de commentaires Bandeau animé Menu Compte client Resastar® vous permet de : Toutes les solutions Media Welcome plateforme.reservation.multi.fournisseurs.mediawelcome>Resastar

Geo APIs Summer Learning Series: GIS with Google Earth and Google Maps This session at Google I/O demonstrated how developers can take advantage of new and little known GIS capabilities in all of our geo services. We started out showing some of the GIS capabilities in Google Maps API, which amongst other features, lets you calculate distances and angles and overlay map tiles in arbitrary projections. Moving onto some new and upcoming products, we showed off some of the capabilities of Google Earth Builder, a new platform to manage and publish large amounts of raster and vector GIS data. In the world of data visualization, previous sessions had showed off new styling features for Fusion Tables. In this session, we showed how you can enable spatial queries on your data, displaying maps and statistics for the closest set of features to a location, or all features within an arbitrary radius. Google Earth Builder is not the only new product that provides access to our infrastructure for working with large GIS datasets - we also talked about Google Earth Engine.

Calcul d'itinéraires : Jogging, Running, Course à pied, Vélo, Cyclisme, Roller, Randonnée - Carte IGN Géoportail France - Entrainement de course à pied - Parcours de randonnée - Circuit à vélo Changer la taille de la carte :S - M - L - XL - XXL 0 m soit : 0 km Distance recalculée en fonction de la topographie : 0 m soit 0 km Saisir votre temps pour calculer votre vitesse : Vitesse moyenne : 0 km/h Temps moyen au km : 0 min 0 sec Saisir votre vitesse pour estimer le temps nécessaire : Saisir un nom pour l'export votre parcours : Derniers parcours Planifier un itinéraire - Importer un fichier GPX ou TCX - Rechercher un parcours - Contact, Liens et Livre d'or

Google Deal Lets SAP Customers Map Data -- InformationWeekGoogle Deal Lets SAP Customers Map Data - software Blog Google Maps meets SAP: Partnership includes exclusive mashup capabilities and discounted pricing for geospatial data. Slideshow: Top 15 Google Apps ForBusiness (click image for larger view and for full slideshow) SAP has teamed up with Google to enable its customers to mashup data with the search giant's mapping capabilities so they can visually report on business conditions such as sales by territory, loan risk by region, or defaults by neighborhood. SAP and Google have already collaborated to enable customers to plot data on Google Maps within the SAP Streamwork, BusinessObjects Explorer, and Crystal Reports interfaces. "It's still a mashup approach, but the private APIs will support tighter, industrial-strength integration with functionality not available from the public APIs," Jonathan Becher, SAP's executive vice president of marketing, said in an interview. The possibilities for data mapping are endless. These are all examples of pioneering mapping mashups that exist today.

écomobilité & innovation... Il y a presque un an, je réalisais la première version d'un tableau comparatif des comptes Twitter de plusieurs réseaux de transport public (voir l'article). Depuis, j'ai réalisé plusieurs itérations (et corrigé quelques bugs...), avec un an de recul, voici quelques résultats : Les transports publics latino américains dominent sur Twitter Santiago du Chili est en tête, suivi par Transmilenio de Bogota et Metro de Mexico : avec respectivement 260 000, 144 000 et 125 000 abonnés, ces trois là dominent largement les réseaux américains, européens et même asisatiques ! Twitter est un canal d'information adapté au "mass transit" Les chiffres importants démontrent que Twitter peut être un canal d'information de premier plan pour les réseaux de transports urbains les plus importants. Transilien et RATP sont en marche, mais il reste du chemin ! L'utilisation d'une échelle logarithmique (!) Plus de Tweets c'est, souvent, plus d'abonnés Le ratio abonnés/nombre de tweets émis, est très variable.

Geo APIs Summer Learning Series: High Performance KML for Maps and Earth The Keyhole Markup Language (KML) is an open standard for geographic data presentation. There are over one billion KML files on the web, and yet the vast majority of these files are points on a map. In High Performance KML for Maps and Earth, Sean Askay and I covered advanced techniques for using KML in Google Earth and the Earth API, as well as introduced other Google platforms that support KML. Our hope is that developers will discover the power of using KML on Google’s platform. Some of the topics we discussed during our talk: An Introduction to KML A quick history and some facts and figures about KML. Advanced data visualization techniques We demonstrated two new animation techniques using under-utilized KML tags that make for powerful data visualizations. First we showed a time-animated thematic map of U.S. You can download this KML file to see these two techniques in action and the other KMLs demonstrated during the talk. Developer environment KML on other platforms

Python: création de cartes dynamiques Google Maps avec Google Charts (kml) Pour créer les graphiques avec Python, nous avons utilisé jusqu'à présent matplotlib mais il y a énormément d'autres possibilités (pypi.python.org/pypi). Parmi celles-ci, il y en a qui utilisent des services web dynamiques comme Google Chart. Le blog.thematicmapping.org/2008/04/using-google-charts-with-kml.html montre comment utiliser Google Chart dans un fichier kml pour fournir des cartes dynamiques. Google Charts Créé en 2007, Google Charts est une API qui renvoie une image au format PNG à partir d'une URL simple avec une série de paramètres. exemple: chart.apis.google.com/chart En tant qu'API REST, les données sont envoyées directement dans l'URL dont la longueur est limitée par le GET (2k). chart.apis.google.com/chart Python et Google Charts linechart et le résultat est : L'exemple précédent traité avec GChartWrapper: avec GchartWrapper De nombreux autres exemples sont fournis à: lecture

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