This is the current Landsat circa 1990/2000 coverage available. Click on the map above to zoom in/out, or 'Select Image' to open a new window (requires javascript) to view or download the Landsat scene.
CartoWeb is a comprehensive and ready-to-use Web-GIS (Geographical Information System) as well as a convenient framework for building advanced and customized applications.
Slashdot: "Giant Insect Invades Germany" hehe... Slashdot: "microsoft europe strenuously denied it was a bug from their code, 'ours are a few metres smaller.'"
PostGIS adds support for geographic objects to the PostgreSQL object-relational database. In effect, PostGIS "spatially enables" the PostgreSQL server, allowing it to be used as a backend spatial database for geographic information systems (GIS).
geopy makes it easy for developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other sources of data, such as wikis.
The purpose of the Data Preservation WG is to provide a venue and mechanism for seeking technical and institutional solutions to the challenge of preserving digital geospatial data.
POLYMAP koppelt unterschiedliche Geo- und Fachinformationssysteme (GIS) und bringt deren Daten in den Web-Browser. POLYMAP ist vollständig in Java geschrieben und wird unter einer Open-Source-Lizenz entwickelt.
polymap.org bietet den Rahmen für Diskussion, Weiterentwicklung und Pflege des Basissystems und der Plugins. Plugins erweitern das System um praktisch beliebige Funktionen und bauen aufeinander auf. Plugins können von jedem entwickelt werden und sind nicht zwingend Open-Source
ZDNet's Dana Blankenhorn reports today on a new open source navigation project launched by European GPS company TomTom that adds additional functionality to navigational devices, regardless of the make or model. The OpenLR project aims to put navigation data on top of a GPS unit's existing database so drivers can access local traffic, weather, and other useful information as they travel.
After installing ArcGIS Server, there are a few things you need to do before you can start creating services and allowing client applications to access these services. The steps below provide a summary of the things you need to think about and do to get s
Open Source programs are applications of which you can access the source code. Listed here are available open source GIS-based applications you can download written for a variety of platforms and in various languages.
Commonly referred to as GRASS, this is free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. GRASS is an official project of the Open Source Geospatial Foundation.
ESRI's GIS (geographic information systems) mapping software helps you understand and visualize data to make decisions based on the best information and analysis.
Opticks is an expandable remote sensing and imagery analysis software platform that is free and open source. If you've used other commercial tools like: ERDAS IMAGINE, RemoteView, ENVI, or SOCET GXP, then you need to give Opticks a try. Unlike other competing tools, you can add capability to Opticks by creating an extension. Opticks provides the most advanced extension capability of any other remote sensing tool on the market.
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S. Ahern, M. Naaman, R. Nair, и J. Yang. JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, стр. 1-10. New York, NY, USA, ACM, (2007)
J. Owens, M. Yuan, M. Wachowicz, V. Kantabutra, E. Jr., D. Ames, и A. Gangemi. National Endowment for the Humanities Workshop Visualizing the Past: Tools and Techniques for Understanding Historical Processes, University of Richmond, Virginia, USA, том 188 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2009)
A. Soheili, V. Kalogeraki, и D. Gunopulos. GIS '05: Proceedings of the 13th annual ACM international workshop on Geographic information systems, стр. 61--70. New York, NY, USA, ACM Press, (2005)
A. Geronimus, J. Bound, и L. Neidert. Journal of the American Statistical Association, 91 (434):
529--537(июня 1996)Investigators of social differentials in health outcomes commonly augment incomplete microdata by appending socioeconomic characteristics of residential areas (such as median income in a zip code) to proxy for individual characteristics. But little empirical attention has been paid to how well this aggregate information serves as a proxy for the individual characteristics of interest. We build on recent work addressing the biases inherent in proxies and consider two health-related examples within a statistical framework that illuminates the nature and sources of biases. Data from the Panel Study of Income Dynamics and the National Maternal and Infant Health Survey are linked to census data. We assess the validity of using the aggregate census information as a proxy for individual information when estimating main effects and when controlling for potential confounding between socioeconomic and sociodemographic factors in measures of general health status and infant mortality. We find a general, but not universal, tendency for aggregate proxies to exaggerate the effects of micro-level variables and to do more poorly than micro-level variables at controlling for confounding. The magnitude and direction of these biases vary across samples, however. Our statistical framework and empirical findings suggest the difficulties in and limits to interpreting proxies derived from aggregate census data as if they were micro-level variables. The statistical framework that we outline for our study of health outcomes should be generally applicable to other situations where researchers have merged aggregate data with microdata samples..