Enabling Geo Data Portal (GDP) functionality for commonly used scientic analysis environments
primary contact/s:
Curtis Price, Dave Blodgett, Rich Signell
Abstract: The Geo Data Portal (GDP) developed by USGS CIDA provides a powerful functionality to process climate and other large remote gridded data, returning summary statistics and areal tabulations over user specified areas. Currently the user interace is a interactive web form, returning a CSV table. This work would allow ArcGIS, Python, R and other common scientific client applications users to access this functionality directly via a GDP Python module.
Project Topic |
Tasks |
Resources Required |
Major Outcomes |
Total Funding Needed |
Python and Matlab port of GDP client tools (WPS) w/ hooks for ArcGIS Toolbox |
Develop python functions to execute GDP web processing services |
~1 month python developer |
Python scripting tools and ArcGIS toolbox to access GDP web processing services. |
Travel $ money for face to face planning and development |
The creation of a python module will allow many commonly-used scientific software tools (ArcGIS, Python, R, Matlab, Microsoft Office) to access GDP analysis functionality. The GDP is now acessible through an interactive web page, which is another system to learn and data formats to navigate.
Review of software distribution for appropriate metadata, policy implications
Inputs:
Allow specification of lon/lat range, time range and depth/height range
Allow specification of statistical techniques
Allow specification of shapefile or polygon as array (numpy)
Output:
Returns calculated time and summary statistical data as arrays (numpy)
NOAA Southwest Fisheries Science Center - Environmental Research Division (SWFSC-ERD)
Geo Data Portal project (CIDA)
Interagency Coastal Marine Spatial Planning (CMSP) Group