Search Results for "website using python"

Seeker is an open source project that demonstrates how to obtain precise location information from devices using social engineering and web-based techniques. The tool sets up a phishing page that asks for location permissions, allowing GPS and other device data to be shared if the user consents. It can capture latitude, longitude, accuracy, altitude, direction, and even speed, with results displayed in a terminal. The project supports both manual deployment and tunneling services like Ngrok...

GeoServer is an open-source software server written in Java that allows users to share and edit geospatial data. Designed for interoperability, it publishes data from any major spatial data source using open standards. Being a community-driven project, GeoServer is developed, tested, and supported by a diverse group of individuals and organizations from around the world. GeoServer is the reference implementation of the Open Geospatial Consortium (OGC) Web Feature Service (WFS) and Web...

...Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...). Please provide the following reference in your work if you are using SAGA: Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Boehner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci. Model Dev., 8, 1991-2007, https://doi.org/10.5194/gmd-8-1991-2015. ...

Scala and polyglot Spark library (Scala, PySpark, SparkSQL, ... ) focused on reading OpenStreetMap Pbf files.

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,...

Earth Enterprise is the open source version of Google Earth Enterprise (GEE), a powerful geospatial application suite that enables organizations to build and host custom 3D globes and 2D maps using their own imagery and data. Unlike Google Maps or Google Earth, Earth Enterprise does not include Google’s proprietary imagery but instead provides the tools needed to manage and visualize private geospatial datasets. The system is composed of three main components: Fusion, which processes and...

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?...

...Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. Orfeo ToolBox has three main access depending on the category of user: write processing chains in C++ using existing filters or creating new ones, use the OTB applications, which is a plugin-based framework allowing to extend high-level processing chains from various environment ( command-line, QT, QGis, Python....) or use Monteverdi, a software for everyday life image manipulation and analysis.

Why use it? You can create your own Python script using model builder, but you have to modify the script everytime you want to dump different tables. Using this script you only need to have a CSV with all the table names, that’s it. Purpose: It can be used as an archival and historical database It will make you ArcSDE database portable and shareable

This project has born to set a place where you can find simple scripts in python to be used for mapping activities.

Alpha test of an XML based HDF reader

PyMemorial is a tool to generate cadastral survey documentation using brazilian's INCRA standards. Completely written in Python it aims to be a simple way to produce all documents following the most current legislation.

A cross-platform aplication to explore online free maps (OpenStreetMap). Build with python and pygame, full immersive environnement. Actually only source code, require pygame.

Create geographics maps from data in table format. Serve map creation requests using a XML-RPC server. - Requires: mapnik, swftools, MySQL server and MySQLdb python module.

gpsdb automatically generates websites from your gps track files, enabling you to quickly and easily share your gps data.

TopoGen is a small PyGTK application which will make a topographic image overlay for Google Earth using the given coordinate boundaries.

View and navigate on raster map with GPS. I want to use it in offroad expeditions. Import oziexplorer raster map. Use GDAL readable format, geotiff is preferred. Import/export data to GPX format. Using python scripts for core AI tasks.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data.