Search Results for "java gui postgresql"

BioSARN (Biological Species Approximate Realized Niche) refines environmental niche model output using topographic, soil and land class filtering, enhanced temporal corridor definition, niche area quantification and output to a high spatial resolution land class model. This is a Java™ Desktop MicroSoft Windows Application with a simple GUI. Preferably BioSARN should be used with 64-bit Java and a substantial RAM as the application reads input files into memory to minimize compute times.

Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be...

mesoFON is an individual-based mangrove forest model. It is a Java implementation of the KiWi model done with RePast Simphony. It contains several new features: (1) You can add up to 10 species via the GUI. However, in principle, the number of species to be included programmatically is unlimited. (2) You can use a variety of growth functions via typing them in as a string on the GUI. (3) The model is transparent, sinc it comes with the Eclipse workbench of RePast.

Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.

MBAS -- Macro-Biological Analysis System -- provides a set of interoperable tools for aid in the analysis of biological data. The backing database is currently PostgreSQL and the primary language is C, though some data entry tools are written in Java.

Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.