Journal article Open Access

An Algebra for Spatiotemporal Data: From Observations to Events

Ferreira, Karine; Camara, Gilberto; Monteiro, Miguel

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="">
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Spatio-temporal data, GIS, abstract data type, observations, events</subfield>
  <controlfield tag="005">20200519082021.0</controlfield>
  <controlfield tag="001">3832891</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">INPE (National Institute for Space Research), Brazil</subfield>
    <subfield code="0">(orcid)0000-0002-3681-487X</subfield>
    <subfield code="a">Camara, Gilberto</subfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">INPE (National Institute for Space Research), Brazil</subfield>
    <subfield code="a">Monteiro, Miguel</subfield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">804271</subfield>
    <subfield code="z">md5:3a3e175130ebc44afbd076f55f90607c</subfield>
    <subfield code="u"></subfield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2013-05-22</subfield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o"></subfield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="c">253-269</subfield>
    <subfield code="v">18</subfield>
    <subfield code="p">Transactions in GIS</subfield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">INPE (National Institute for Space Research), Brazil</subfield>
    <subfield code="0">(orcid)0000-0003-2656-5504</subfield>
    <subfield code="a">Ferreira, Karine</subfield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">An Algebra for Spatiotemporal Data: From Observations to Events</subfield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u"></subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2"></subfield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Recent technological advances in geospatial data gathering have created massive data sets with better spatial and temporal resolution than ever before. These large spatiotemporal data sets have motivated a challenge for Geoinformatics: how to model changes and design good quality software. Many existing spatiotemporal data models represent how&amp;nbsp;&lt;em&gt;objects&lt;/em&gt;&amp;nbsp;and&amp;nbsp;&lt;em&gt;fields&lt;/em&gt;&amp;nbsp;evolve over time. However, to properly capture changes, it is also necessary to describe&amp;nbsp;&lt;em&gt;events&lt;/em&gt;. As a contribution to this research, this article presents an algebra for spatiotemporal data. Algebras give formal specifications at a high‐level abstraction, independently of programming languages. This helps to develop reliable and expressive applications. Our algebra specifies three data types as generic abstractions built on real‐world observations:&amp;nbsp;&lt;em&gt;time series&lt;/em&gt;,&amp;nbsp;&lt;em&gt;trajectory&lt;/em&gt;&amp;nbsp;and&amp;nbsp;&lt;em&gt;coverage&lt;/em&gt;. Based on these abstractions, it defines&amp;nbsp;&lt;em&gt;object&lt;/em&gt;&amp;nbsp;and&amp;nbsp;&lt;em&gt;event&lt;/em&gt;&amp;nbsp;types. The proposed data types and functions can model and capture changes in a large range of applications, including location‐based services, environmental monitoring, public health, and natural disasters.&lt;/p&gt;</subfield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1111/tgis.12030</subfield>
    <subfield code="2">doi</subfield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">article</subfield>
Views 61
Downloads 81
Data volume 65.1 MB
Unique views 56
Unique downloads 79


Cite as