Earth and Moon Viewer Welcome to Earth and Moon Viewer. Viewing the Earth You can view either a map of the Earth showing the day and night regions at this moment, or view the Earth from the Sun, the Moon, the night side of the Earth, above any location on the planet specified by latitude, longitude and altitude, from a satellite in Earth orbit, or above various cities around the globe. Images can be generated based on a full-colour image of the Earth by day and night, a topographical map of the Earth, up-to-date weather satellite imagery, or a composite image of cloud cover superimposed on a map of the Earth, a colour composite which shows clouds, land and sea temperatures, and ice, or the global distribution of water vapour.
Education Available languages — Using OpenStreetMap in an Educational Context For information about academic research related to OpenStreetMap, see Research. For a general article about how to map educational facilities in OpenStreetMap, see Education features. Students learning about OpenStreetMap at a workshop at FEATI University in the Philippines Norkart Virtual Globe load and start page This page loads and starts a Virtual Globe with the following parameters: The Virtual Globe requires Java 1.5 or better installed on your computer, testing for Java: Your browser doesn't tell if you have Java installed or not. You can try to click here to start the Virtual Globe. If it doesn' work you should try to download and install Java first. Your browser may ask what to do with a file of type application/x-java-jnlp-file, you should specify that it should be opened by the program javaws.
Robin Lovelace - Aggregating spatial points by clusters With ubiquitous collection devices (e.g. smartphones), having too much data may become an increasingly common problem for spatial analysts, even with increasingly powerful computers. This is ironic, because a few short decades ago, too little data was a primary constraint. This tutorial builds on the ‘Attribute joins’ section of the Creating maps in R tutorial to demonstrate how clusters can be identified in a field of spatial points and then used as the basis of aggregation to reduce the total number of points. It is also available on rpubs.
Thorium Reader – EDRLab Thorium Reader is the EPUB reader of choice for Windows 10, MacOS and Linux. This EDRLab application is in constant development and aims at becoming a reference for accessing EPUB 3 publications in reflow or fixed layout format, audiobooks and visual narratives, LCP protected or not. It is localized in a large set of languages, each version offering new languages. Huge efforts are also made to get Thorium Reader highly accessible for visually impaired and dyslexic people.
Relief Map i Hans Braxmeier, Donaustraße 13, 89231 Neu-Ulm, firstname.lastname@example.org Intention The Agas Map Our new (as of the beginning of 2015) implementation of the Agas Map is based on the OpenLayers 3.0 library. It presents the map as a zoomable, rotatable tiled image with several hundred locations plotted on it. In the default view, the locations are initially hidden; you can show them by checking checkboxes in the navigation panel which appears at the top right of the map.
OpenStreetMap Where am I? Welcome to OpenStreetMap! OpenStreetMap is a map of the world, created by people like you and free to use under an open license. Hosting is supported by UCL, Bytemark Hosting and Imperial College London, and other partners. Spatial correlograms in R: a mini overview Spatial correlograms are great to examine patterns of spatial autocorrelation in your data or model residuals. They show how correlated are pairs of spatial observations when you increase the distance (lag) between them - they are plots of some index of autocorrelation (Moran's I or Geary's c) against distance. Although correlograms are not as fundamental as variograms (a keystone concept of geostatistics), they are very useful as an exploratory and descriptive tool.