Search Results for "environmental software"

Note: Active projects have been copied to Github: https://github.com/pcraster News, project information, documentation and more are available at http://www.pcraster.eu PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. Two scripting languages (PCRcalc and Python) include a rich set of spatial operations for manipulating and analysing raster maps. ...

This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm.

CEM2D is a reduced complexity coastal evolution model, capable of simulating fundamental cause-effect relationships in coastal systems and exploring the influence that sea level rise could have on sediment transport and the formation and evolution of morphological features and landforms over meso-scales. The model has been built from a 1D parents model - CEM - that was originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006).

Niche Analyst (NicheA) was developed based on the BAM framework which allows users to create virtual spaces and virtual species, and to analyze ecological niches in both multivariate environmental and geographic spaces, linking views of the niche in the two spaces. The unique functionality in NicheA, not available in other software programs, is estimating Grinnellian niches of species based on environmental variables and occurrence records, but with a clear focus on fundamental ecological niches. NicheA can display ecological niches; calculate their shape, density, location, and other attributes; and quantify similarity among multiple niches.