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An estimation of PIMP is given by PIMP = 6.4J^0.5 where J is the number of dwellings per hectare (Butler and Davies 2000). For example, woodland has a PIMP value of 10%, whereas dense commercial areas have a PIMP value of 100%. This variable is used in the Flood Estimation Handbook. Graph of impervious surface coverage in the US. [5] [6]
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
Template:OSM Location map/examples - Wikipedia ... References ^
Maps are useful in presenting key facts within a geographical context and enabling a descriptive overview of a complex concept to be accessed easily and quickly. WikiProject Maps encourages the creation of free maps and their upload on Wikimedia Commons. On the project's pages can be found advice, tools, links to resources, and map conventions.
Mountains is an image analysis and surface metrology software platform published by the company Digital Surf.Its core is micro-topography, the science of studying surface texture and form in 3D at the microscopic scale.
These functional tools might include object placement tools, analysis tools, reporting tools etc. The functional tool development is generally done using a supporting programming language. An advanced AM/FM/GIS software is always equipped with pre-defined functions and procedures to carry out common GIS operations.
When making your own maps for a specialized purpose, check out the basic templates provided at Wikipedia:Blank maps; User:Brooke Vibber/Maps and images for Wikipedia; User:Morwen/maps; Libre Map Project boundary maps - Blank boundary maps for all 50 United States including state, county, and county subdivisions. Commons:Map resources#Map ...
When carrying out geological mapping, interpretations through aerial photographs and satellite imagery are often used, but forest vegetation remained the major challenge for mapping. For example, characterising physical landform features at ridges and valleys are somehow complicated, many of these features are forest-covered.