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Telegram chat https://t.me/+cDV5ccIDOJ42OTc6 Telegram group https://t.me/+qvT9A2fX5-c5YWMy YouTube channel https://www.youtube.com/@finich1981 Lithology is a docker for CorelDRAW, which is designed to build geological sections, geological maps, and well mapping schemes. Installation You can use the installer, which is located in the setup folder Or install it manually from the archive in the zip folder There are two folders in the archive Lithology and LithologyResources Copy the Lithology folder to c:\Program Files\Corel\CorelDRAW Graphics Suite XXXX\Programs64\Addons\ Copy the LithologyResources folder to c:\Users \{Your user}\AppData\Roaming\Corel\CorelDRAW Graphics Suite XXXX\Custom Data\ Launch CorelDRAW, open docker from the menu Window-> Windows settings-> Lithology

Implementation of an OGC Web Map Service, primarily for serving images dynamically generated from NetCDF data files (although other file formats can also be handled). Also an AJAX web mapping interface based on OpenLayers.

This project contains the working artifacts for the development of the Energistics Transfer Protocol. There is NO Wiki. To review documentation, clone or download the repository and look in the documentation directory. You can access on line using the [Browse Code] button.

...OSGC provides a catalogue engine built on top of a PostgreSQL+Postgis database, which exposes a cusmizable OpenSearch interface. Most of the application configuration can be set from the Admin web interface, while Data Administrators have a separated Dropbox interface, which ease the management of the catalog and the data storage, and a Data Gateway interface, which controls access to data and produces data access statistics. A stand-alone client web interface, written in HTML5 and Javascript, can be used to query this catalog and other compliant OpenSearch catalogs.

shp2georss: Convert esri shape file to GeoRSS, which can be viewed in Virtual Earth,Yahoo map,Google Map,Sponsored by National Science Foundation of United States,Idaho State University,developed by Joe Hu at MapWindow software lab,Idaho State Univ

Its a web-based project developed using simple JSP and Javascript. Users can check any city's current weather, previous weather and forecast. For forecasting auto-regression algorithm has been used.