Updated:Tue Jan 21 15:45:24 EST 2020
Cover of the FIU Fall 2016 Magazine: Shonda and Shalisha Witherspoon and Dr. Rishe Cover of the 2016 NSF Breakthroughs Compendium: CAKE Center Cover of the 2014 NSF Breakthroughs Compendium From the NSF 2010 Budget Request to Congress 2016 book Interaction Design 3D User Interfaces, 805 pages, among 300 publications 2015 Fuzzy Logic Book, among 300 publications Havana media coverage: Dr. Rishe and TerraFly |
Contents:
Help: Data-feed basic help; More help;
Powerpoint; Movie
Maps: Generators of interactive basemaps and time-series
WMS: WMS standard imagery download service
LIDAR: LIDAR Elevation
UAV: UAV (drone) collected super-resolution
Applications: Sample Interactive Applications
NSFMOD Datasets:
Environment:
Demographics:
U.S.Census 2010 Summaries (selected fields):
U.S.Census 2010 Detail (all fields):
U.S.Census 2000:
ACS:
LEHD:
XML/JSON/CSV Help: The Example of XML link below shows the required parameters and the location parameters (coordinates or address). Likewise, we provide data-feeds in CSV and Geo-JSON. You may add additional record selection parameters as follows:
The easy way: Go to an HTML link for a dataset, e.g. history_water_rtgauges-html; interactively modify your query by clicking on blue words and symbols and/or using the Criteria tab; then create the corresponding XML link by using the criteria encoded in the resulting link and add "&filetype=.xml".
The mid-easy way: Go to an HTML link for a dataset, e.g. history_water_rtgauges-html; uncollapse the "More Searchable Fields" tab at the bottom of the page; it will list all fields, with field definitions and most-frequent values; click on any field to see an example of a URL querying on that field; combine multiple field queries if needed; add "&filetype=.xml"
The non-interactive way: The first record of the XML output lists field IDs and definitions of all fields. You can add criteria in the form field_id=word to restrict the field to the given value (or words in a field containing several words). It is case insensitive. If the field is numeric or date, you can also use comparison operators greater-or-equal %3E= and less-or-equal %3C=. (For additional operators see the full GeoQuery Manual and FAQ and more HELP below.) To look for a keyword in any field rather than in a specific field, specify: anyfield=keyword.
(code: history_water_rtgauges)
Dataset size: 17 fields, 10.27M records, 199.64M words, 1296.95Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=history_water_rtgauges&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arqueryhistory_water_rtgauges&vid=nsfmod.edu
(code: pblock2010n)
Dataset size: 21 fields, 11.16M records, 142.04M words, 1367.01Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pblock2010n&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypblock2010n&vid=nsfmod.edu
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(code: pbg2010n)
Dataset size: 29 fields, 220K records, 3.29M words, 31.92Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pbg2010n&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypbg2010n&vid=nsfmod.edu
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(code: ptract2010n)
Dataset size: 29 fields, 74K records, 1.1M words, 10.74Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=ptract2010n&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arqueryptract2010n&vid=nsfmod.edu
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(code: pzipcode2010n)
Dataset size: 29 fields, 33K records, 465K words, 7.12Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pzipcode2010n&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypzipcode2010n&vid=nsfmod.edu
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(code: pincorp2010n)
Dataset size: 29 fields, 46K records, 656K words, 7.06Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pincorp2010n&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypincorp2010n&vid=nsfmod.edu
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(code: pblock2010w)
Dataset size: 3461 fields, 11.16M records, 38293M words, 86726.8Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pblock2010w&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypblock2010w&vid=nsfmod.edu
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(code: pbg2010w)
Dataset size: 3463 fields, 220K records, 746.26M words, 2001.91Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pbg2010w&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypbg2010w&vid=nsfmod.edu
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(code: pzipcode2010w)
Dataset size: 3463 fields, 33K records, 112.13M words, 327.09Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pzipcode2010w&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypzipcode2010w&vid=nsfmod.edu
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(code: pincorp2010w)
Dataset size: 3463 fields, 66K records, 224.16M words, 619.99Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pincorp2010w&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypincorp2010w&vid=nsfmod.edu
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(code: pbg)
Dataset size: 19 fields, 211K records, 4.63M words, 30.34Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pbg&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypbg&vid=nsfmod.edu
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(code: pzipcode)
Dataset size: 19 fields, 33K records, 661K words, 4.11Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pzipcode&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypzipcode&vid=nsfmod.edu
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(code: pincorp)
Dataset size: 19 fields, 25K records, 516K words, 3.29Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=pincorp&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arquerypincorp&vid=nsfmod.edu
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(code: ACS_pbg2010_FL_2009-2013)
Dataset size: 22748 fields, 11442 records, 43.55M words, 339.74Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=ACS_pbg2010_FL_2009-2013&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arqueryACS_pbg2010_FL_2009-2013&vid=nsfmod.edu
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(code: ACS_zipcodes_2008-2012)
Dataset size: 22530 fields, 33K records, 547.81M words, 1776.58Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=ACS_zipcodes_2008-2012&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arqueryACS_zipcodes_2008-2012&vid=nsfmod.edu
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(code: US_LODES_RAC_2012_pblock2010n_merge)
Dataset size: 63 fields, 5.5M records, 302.97M words, 1228.02Mbytes.
Metadata at field level: /cgi-bin/arquery.cgi?category=US_LODES_RAC_2012_pblock2010n_merge&allcriteria=1&show_criteria=1&vid=nsfmod.edu&Lat=25.790&Lon=-80.1291&arcriteria=1&
Data (HTML query): /cgi-bin/gnis.cgi?Lat=25.790&Lon=-80.1291&tfaction=arqueryUS_LODES_RAC_2012_pblock2010n_merge&vid=nsfmod.edu
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GeoQuery (arquery) allows one to query a dataset and return an XML file of the results. Likewise, Geo-JSON and CSV formats are available.
Full manual to GeoQuery is: GeoQuery Manual. See also FAQ. A a general introduction to XML can be found HERE. The XML Geo-query output lists field IDs of all fields. You can add criteria in the form field_id=word to restrict the field to the given value (or words in a field containing several words). It is case insensitive. If the field is numeric or date, you can also use comparison operators greater-or-equal %3E= and less-or-equal %3C=. To look for a keyword in any field rather than in a specific field, specify: anyfield=keyword.
The template one should follow for writing an Arquery XML URL that will produce an XML file is as follows:
/cgi-bin/gnis.cgi?tfaction=arqueryDATASET_NAME&vid=nsfmod.edu&Lat=VALUE&Long=VALUE&FIELD_ID_1=VALUE.....&FIELD_ID_N=VALUE&filetype=.xml
Placing this URL in the address bar of your browser and retrieving it will produce an XML file containing all records in close proximity (550 meters) to the lat and lon coordinates specified that meet the restrictions imposed by the set of &FIELD_ID=VALUE pairs in the Arquery XML URL. Lat and lon are REQUIRED unless the location is specified via an address or zipcode or city.
EXAMPLE: