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Open Courseware for GIS
Tutorial
This site is for the GIS Open Courseware Community
Oct 10, 2020 - 41 views -

Hydrognomon | Hydrological time series analysis and processing software application
Software

Hydrognomon is free software for time series analysis (but it is unsupported; see the first question in the faq) Download FAQ Display time series in tables and graphs Time series aggregation Statistical analysis and Monte Carlo confidence intervals Histograms and fit of probability density functions...

download here:

 https://github.com/openmeteo/hydrognomon/

Aug 08, 2020 - 54 views -

Global Subnational River Borders | Zenodo
Data » Vector
This dataset presents Global Subnational River-Borders (GSRB), a first global geospatial dataset of subnational, as well as national, political borders set by large rivers. GSRB incorporates three previous vector datasets (GAUL, GRWL + +, and WDBII) to map and quantify the use of large rivers as political borders at local (Level 2), state (Level 1), and national (Level 0) scales. When referencing this dataset, please use the full paper citation: Sarah J. Popelka, Laurence C. Smith; Rivers as political borders: a new subnational geospatial dataset. Water Policy 1 June 2020; 22 (3): 293–312. doi: https://doi.org/10.2166/wp.2020.041
Jul 18, 2020 - 48 views -

Software | Marxan
Software » GIS
Marxan is a family of software that can be applied to different types of planning challenges. Over the years, Marxan has grown from its standard two zone application to consider more complex challenges like incorporating connectivity, probabilities and multiple zones. Along the way, Marxan’s user community has also built plug-ins and interfaces to assist with planning projects.
Jul 13, 2020 - 47 views -

SaTScan - Software for the spatial, temporal, and space-time scan statistics
Software » GIS
SaTScan™ is a free software that analyzes spatial, temporal and space-time data using the spatial, temporal, or space-time scan statistics. It is designed for any of the following interrelated purposes:

Perform geographical surveillance of disease, to detect spatial or space-time disease clusters, and to see if they are statistically significant.
Test whether a disease is randomly distributed over space, over time or over space and time.
Evaluate the statistical significance of disease cluster alarms.
Perform repeated time-periodic disease surveillance for early detection of disease outbreaks.

The software may also be used for similar problems in other fields such as archaeology, astronomy, botany, criminology, ecology, economics, engineering, forestry, genetics, geography, geology, history, neurology or zoology.
Jul 10, 2020 - 54 views -

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