Esri Launches National Green Infrastructure Initiative for Planning Esri, the world leader in geographic information system (GIS) technology, has launched a suite of public mapping tools and data to help communities protect the places and natural resources that help people, wildlife, and the economy thrive. Leading the Green Infrastructure for the U.S. initiative, Esri has partnered with National Geographic Society to transform how U.S. communities plan development. By equipping local, regional, and urban municipalities with data and GIS tools, Esri president Jack Dangermond envisions communities working together to build a green infrastructure—a strategically managed network of open spaces, watersheds, wildlife habitats, parks and other areas that deliver vital services and enrich quality of life. With Esri’s green infrastructure planning tools, communities can identify, protect, and connect local places of natural and cultural significance before development occurs. For more information, visit esri.com/greeninfrastructure.
Desktop This software has been renamed to Gapminder World Offline Because of technical problems the software on this page is no longer being maintained! Please visit Gapminder World Offline (Beta) instead. Gapminder Desktop With Gapminder Desktop you can show animated statistics from your own laptop! Install the free software and watch the how-to video with Hans Rosling. OpenHeatMap now supports states and provinces worldwide October 24, 2010 By Pete Warden in Uncategorized Leave a comment One of the most frequent requests for OpenHeatMap has been better support for provinces/states outside of the ones I already offer. The bottleneck's been finding the data in a form I can use, with a lot of help from locals I found a handful of usable maps for India, Mexico and Canada, but it was a slow process. All that changed when I discovered the public domain Natural Earth data set. Taking one map containing top-level administrative districts for every country worldwide, I was able to extract the states and provinces for hundreds of nations. This means you can now upload a spreadsheet containing province names for almost any country and get a detailed map.
Playing with heat-mapping UK data on OpenHeatMap Last night OpenHeatMap creator Pete Warden announced that the tool now allowed you to visualise UK data . I’ve been gleefully playing with the heat-mapping tool today and thought I’d share some pointers on visualising data on a map. This is not a tutorial for OpenHeatMap – Pete’s done a great job of that himself (video below) – but rather an outline of the steps to get some map-ready data in the first place. [youtube: 1. Find a dataset to visualise.
Awesome: DIY Data Tool Needlebase Now Available to Everyone If you've been within shouting distance of me over the last month, you've probably heard me singing the praises of Needlebase, a great new point-and-click tool for extracting, sorting and visualizing data from across pages around the web. I've been using it for all kinds of things and now you can too. When we first reviewed Needle here on ReadWriteWeb, it was in closed beta and new users had to request an account. Now it's open and available for all: free for personal use or by subscription for commercial use. Isarithmic Maps As a follow-up to my isarithmic maps of county electoral data, I have attempted to experiment with extending the technique in two ways. First, where the electoral maps are based on data aggregated to the county level, I have sought to generalize the method to accept individual responses for which only zip code data is known. Further, since survey respondents are not distributed uniformly across the geographic area of the United States (tending to be concentrated in more populous states and around cities), I have attempted to convey a sense of uncertainty or data sparsity through transparency.
Data Scraping Wikipedia with Google Spreadsheets Prompted in part by a presentation I have to give tomorrow as an OU eLearning community session (I hope some folks turn up – the 90 minute session on Mashing Up the PLE – RSS edition is the only reason I’m going in…), and in part by Scott Leslie’s compelling programme for a similar duration Mashing Up your own PLE session (scene scetting here: Hunting the Wily “PLE”), I started having a tinker with using Google spreadsheets as for data table screenscraping. So here’s a quick summary of (part of) what I found I could do. The Google spreadsheet function =importHTML(“”,”table”,N) will scrape a table from an HTML web page into a Google spreadsheet. The URL of the target web page, and the target table element both need to be in double quotes. The number N identifies the N’th table in the page (counting starts at 0) as the target table for data scraping. Grab the URL, fire up a new Google spreadsheet, and satrt to enter the formula “=importHTML” into one of the cells: