Search Results for "opendss-gis"
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Showing 11 open source projects for "opendss-gis"
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
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... -
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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GEOMS2
Geostatistics and geosciences modeling software
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... -
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geomorphometry toolbox
Geomorphometry Toolbox for AG
Geomorphometry Toolbox for AG is concerned with automated analysis of Digital Elevation Models with ESRI's software packages, mainly ArcInfo and ArcGIS -
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globalsoilmap.net/GSIF AG toolbox
facilitating predictions of parameters using statistical models
streamline the DSM process in ArcGIS/Numpy/GDAL/Python using Sampling, Statistical elaboration, Prediction to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to i) manually calculate the equations using Raster calculator; ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid... -
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Rospo GeoTech
Tool-Kit aplication for system Geo Integrations
Project created to develop customizations in OpenGeo, to contribute to the standardization of formats Brazilians. Tool-Kit aplication for system Geo Integrations, using java frameworks. -
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Platform providing the support for Wireless Sensor Networks in the domain of Natural Hazards as a Service. The objective of the WSN platform is monitoring the behaviour of rockfall barriers, rockfall netting, rock sheds and other protection systems
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Otto's Workshop
Geomatics & mapping tools for the masses!
The purpose of this workshop is to share the tools created as an aid to our everyday work with students, enthusiasts and specialists interested in the development and use of new technologies including (but not limited to) geomatics, mapping, web mapping services (WMS), drafting, remote sensing, GIS and related occult sciences of Gaia. Check out the NBR (dn2nbr) and NDVI (dn2ndvi) calculating tools for GRASS GIS at the top menu!!! -
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PySOS, a python-based implementation of the OGC SOS standard. PySOS is a lightweight set of scripts that work in conjunction with a web server to serve data from a relational database.
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info. -
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PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.
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