Open Source Earth Sciences Software

gputils is a collection of tools for Microchip PIC microcontrollers. Its goal is to be fully compatible with Microchip's tools, MPASM, MPLINK, and MPLIB.

Geoblock is a program for 3D modeling, database management and visualization of geoscience datasets. It is developed for mineral deposit exploration, ore reserve estimation, mine planning and simulating geotechnical processes in mine sites.

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.

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. See Dockerfile.wheels for additional components.

GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download

ISOPLOT is a flexible software tool for the analysis and interpretation of radiogenic-isotope data. It is developed by Dr Ken Ludwig of the Berkeley Geochronology Center. DISCLAIMER: Isoplot is BGC’s Visual Basic Add-in for Microsoft’s Excel(R) for data analysis and graphical presentation of geochronology, earth science and other radiogenic isotope data only. BGC’s Isoplot is not the Isoplot(R) for analysis of any measuring system as described at http://www.shainin.com/. BGC is not affiliated with Red X(R) Holdings, LLC. Isoplot(R) is a registered trademark of Red X(R) Holdings, and is licensed to Shainin(R) LLC.

LaTeX package for geophysical publications

A library collection of FORTRAN 90 subroutines and functions for the handling of raster images and for remote sensing applications. The 'fwtools' name evolved from 'framework tools'.

Biosphere3D targets interactive landscape rendering based on a virtual globe. It supports DEM, satellite and aerial images, 3D models (Collada), 3D plant models, and Shapefiles. Biosphere3D was initially developed by the landscape visualization group of the Zuse Institute Berlin by Malte Clasen and is now developed further by Lenné3D GmbH. For more information about the used concepts have a look at the thesis of Malte Clasen: Towards Interactive Landscape Visualization Doctoral Thesis published 2011 via Technische Universität Berlin https://doi.org/10.14279/depositonce-3005

A python-based system to diagnosis and make weather maps (wxmap) of numerical weather prediction models using the Grid Analysis and Display System (GrADS) from opengrads.org

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

This simple console application requests two-line element sets (TLE) for given space satellites and saves it to the file. You can manage satellites by configuration file. First line of the config file is the API base address. You shouldn't change it usually. Second line of the file is the default API key. It's strongly recommended register on the website "n2yo(dot)com/api/" and get your own key due to limitations of amount requests. To personalize list of the satellites, add your desired satellite IDs at line 3 and further. As an example, there are three satellite IDs added by default.

TRiDaS is a universal data exchange standard for the dendrochronology community. This project contains the data standard itself as well as libraries and tools useful for reading, writing and converting dendro data files.

Generic data-assimilation toolbox written in java, with native (c and fortran) libraries for high performance computing. Provides tools to couple to your own model and a wide range of algorithms, ranging from parameter calibration to Kalman filters.

A collection of Fortran interfaces to the most common Open Source GIS libraries, plus some more Fortran-specific tools.

Global Land Use and technological Evolution Simulator.

A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. The library is mature enough and is very usable even if the development is at a beta step.

Tabla periódica completa con funciones especiales únicas. Desarrollada en Java como proyecto final del área de Química en Ingeniería de sistemas segundo semestre.

Eden is a celular automata based urban simulation models that may be used as urban laboratory to explore various interesting ideas of urban policies about how city work and change over time.

A collection of Fortran interfaces to the most common Open Source GIS libraries, plus some more Fortran-specific tools.

A system that shall predict good days and locations for cross country free flying such as paragliding by comparing current weather predictions with statistics about past weather predictions and flights from online contests.

Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.

The NJ toolbox (njTBX) is a matlab object API, built on top of Unidata's Netcdf-Java API to facilitate netCDF model data manipulation. Development of njTBX is a part of 'An Open-Source Community Model for Coastal Sediment Transport' project.

The Ocean Land Atmosphere Model (OLAM) is a new global general circulation/climate prediction model that will allow to “nest down” to any desired resolution using a flexible mesh refinement technique that works on either triangular or hexagonal g