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Interlinking Opensource Geo-spatial Datasets For Optimal Utility in Ranking
Authors: Bhattacharya Devanjan | Pasquali Paolo | Komárková Jitka | Sedlák Pavel | Saha Atreyi
Year: 2014
Type of publication: ostatní - článek ve sborníku
Name of source: Cartocon 2014 Conference proceedings
Publisher name: Univerzita Palackého v Olomouci
Place: Olomouc
Page from-to: 73-73
Titles:
Language Name Abstract Keywords
eng Interlinking Opensource Geo-spatial Datasets For Optimal Utility in Ranking The joining of geospatial datasets is required to utilize the complete set of information available in each of them. There are many open source geospatial datasets available such as GeoNames, Open Street Map, Natural Earth and to get a comprehensive dataset with the union of all available information it is important that such datasets are linked optimally without redundancy or loss of information. One of the essential aspects of digital mapping and online visualization of maps is the prioritized ranking of geolocations with respect to their attributes and this facility is available as rank columns in Natural Earth data tables which need to be merged with other datasets for creating a complete and exhaustive mapping example. The challenges faced include geometry searching, matching, buffer determination, local naming text inclusion and accuracy. This has been achieved by the current research work where presently GeoNames, Natural Earth and Open Street Map data tables have been merged with the union of all their attribute columns resulting in a complete geospatial dataset with place accuracy of atleast 95% for any given country dataset. The data tables at global level consist of hundreds of thousands of rows with each row depicting a geolocation. The geometry, name and geo-id complete and fuzzy searching and matching around a buffer of 50 km took a minimum of 30 secs to maximum 1 minute in a commodity computer with 2 GHz, 2 GB memory, according to size and complexity of the query run for a country which could have a list of points ranging from a dozen to several hundreds. The future aim is to ultimately do this for global datasets to create an all-encompassing geodata bank having such information as administrative, political, ecological details from important databases as GAUL, SALB, GADM etc. Geospatial open-source datasets; Mapping, Interlinking; Open Street Map; GeoNames; Natural Earth; ata tables; Scale ranking; Label ranking; Metadata; Fuzzy matching; Geometry

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