<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Robertson-2020-An">
    <titleInfo>
        <title>An integrated environmental analytics system (IDEAS) based on a DGGS</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Colin</namePart>
        <namePart type="family">Robertson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chiranjib</namePart>
        <namePart type="family">Chaudhuri</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Majid</namePart>
        <namePart type="family">Hojati</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Steven</namePart>
        <namePart type="given">A</namePart>
        <namePart type="family">Roberts</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <genre authority="bibutilsgt">journal article</genre>
    <relatedItem type="host">
        <titleInfo>
            <title>ISPRS Journal of Photogrammetry and Remote Sensing, Volume 162</title>
        </titleInfo>
        <originInfo>
            <issuance>continuing</issuance>
            <publisher>Elsevier BV</publisher>
        </originInfo>
        <genre authority="marcgt">periodical</genre>
        <genre authority="bibutilsgt">academic journal</genre>
    </relatedItem>
    <abstract>Abstract Discrete global grid systems (DGGS) have been proposed as a data model for a digital earth framework. We introduce a new data model and analytics system called IDEAS – integrated discrete environmental analysis system to create an operational DGGS-based GIS which is suitable for large scale environmental modelling and analysis. Our analysis demonstrates that DGGS-based GIS is feasible within a relational database environment incorporating common data analytics tools. Common GIS operations implemented in our DGGS data model outperformed the same operations computed using traditional geospatial data types. A case study into wildfire modelling demonstrates the capability for data integration and supporting big data geospatial analytics. These results indicate that DGGS data models have significant capability to solve some of the key outstanding problems related to geospatial data analytics, providing a common representation upon which fast and scalable algorithms can be built.</abstract>
    <identifier type="citekey">Robertson-2020-An</identifier>
    <identifier type="doi">10.1016/j.isprsjprs.2020.02.009</identifier>
    <location>
        <url>https://gwf-uwaterloo.github.io/gwf-publications/G20-126001</url>
    </location>
    <part>
        <date>2020</date>
        <detail type="volume"><number>162</number></detail>
        <extent unit="page">
            <start>214</start>
            <end>228</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Journal Article
%T An integrated environmental analytics system (IDEAS) based on a DGGS
%A Robertson, Colin
%A Chaudhuri, Chiranjib
%A Hojati, Majid
%A Roberts, Steven A.
%J ISPRS Journal of Photogrammetry and Remote Sensing, Volume 162
%D 2020
%V 162
%I Elsevier BV
%F Robertson-2020-An
%X Abstract Discrete global grid systems (DGGS) have been proposed as a data model for a digital earth framework. We introduce a new data model and analytics system called IDEAS – integrated discrete environmental analysis system to create an operational DGGS-based GIS which is suitable for large scale environmental modelling and analysis. Our analysis demonstrates that DGGS-based GIS is feasible within a relational database environment incorporating common data analytics tools. Common GIS operations implemented in our DGGS data model outperformed the same operations computed using traditional geospatial data types. A case study into wildfire modelling demonstrates the capability for data integration and supporting big data geospatial analytics. These results indicate that DGGS data models have significant capability to solve some of the key outstanding problems related to geospatial data analytics, providing a common representation upon which fast and scalable algorithms can be built.
%R 10.1016/j.isprsjprs.2020.02.009
%U https://gwf-uwaterloo.github.io/gwf-publications/G20-126001
%U https://doi.org/10.1016/j.isprsjprs.2020.02.009
%P 214-228

Markdown (Informal)

[An integrated environmental analytics system (IDEAS) based on a DGGS](https://gwf-uwaterloo.github.io/gwf-publications/G20-126001) (Robertson et al., GWF 2020)

• An integrated environmental analytics system (IDEAS) based on a DGGS (Robertson et al., GWF 2020)

ACL

• Colin Robertson, Chiranjib Chaudhuri, Majid Hojati, and Steven A. Roberts. 2020. An integrated environmental analytics system (IDEAS) based on a DGGS. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 162, 162:214–228.