Search Results for "python data analysis" - Page 2

The Prajna project is a collection of tools and utility classes combining visualization, geographic displays, data fusion, and semantic reasoning into a cohesive toolkit for enhancing information discovery and reasoning.

openBmap collects data and provides open maps and statistics of all communicating objects: cellular antennas, wifi hotspots. All softwares from back-end to client are open-source under AGPL v3 license.

The STIanafor is a tool for spatio-temporal data vizualization, analysis and forecast of incidence of sexually-transmitted diseases and drug resistance of pathogens in the Russian Federation. Currently supports gonorrhoea (N. gonorrhoeae) and syphilis (T. pallidum). A set of real data for testing is provided.

Mapnik is an OpenSource C++/Python toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.

A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

This software enables easy creation and sharing of district maps online.

AIS Logger is a simple viewer and logger for data received by AIS-transponders or -receivers.

EDAS2 is a web-based environmental quality data management and decision support framework

Tool kit for moving KML formatted Geospatial data into and out of other GIS packages such as ESRI ArcGIS, PostGIS, etc Supports reading and writing Google Earth files via Python and other GIS packages.

A generic geospatial analysis and viewing capability using Perl scripts that provides the foundation and structure for readily creating KML data files from disparate data sources. KML files can be read and viewed by Google Earth and other tools.

This is a web based disease monitoring for monitoring diseases like chikungunya, malaria - reported by hospitals in a district, county, state or country. There is a reporting & analysis module and a GIS module which displays the data using google maps.

This is a Python interface for reading and writing Magellan GPS unit map files. There is also a command line tool for creating GPS maps from OpenStreetMap data.

A toolbox of open source geospatial essentials

geolocate is a front-end java program that works with google maps to provide dynamic maps to users. Combined with the flexibility of XML and the power of javascript, users can see various relationships on their map to draw conclusions.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.

Narvik is a tool for conducting numerical and visual analysis in cartography.

HidroSIG is a GIS that supports raster and vectorial maps with modules oriented to the hydrological analysis, time series, remote sensing and more. It has been made 100% in java using VisAD for data visualization and using MySQL to storage all data.

The CHIP Cluster Generator attempts to create spatio-temporal cluster data in an automated fashion to help evaluate epidemic detection software. The spatio-temporal data will then be used to determine robustness of spatial detection algorithms.

Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.

XML Parser, Data Processing API and Specific Implementations for SensorML.

The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.

This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.

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.