Disaggregator – a tool for the aggregation and disaggregation of spatial data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73614817" target="_blank" >RIV/61989592:15310/22:73614817 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s12145-021-00737-9" target="_blank" >https://link.springer.com/article/10.1007/s12145-021-00737-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12145-021-00737-9" target="_blank" >10.1007/s12145-021-00737-9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Disaggregator – a tool for the aggregation and disaggregation of spatial data

Popis výsledku v původním jazyce

This paper describes the Disaggregator tool, developed for the aggregation and disaggregation of spatial data. There exist several types of point data that need to be aggregated for more effective visualization. On the other hand, some statistical datasets are only available for larger areas; the disaggregation procedure can recalculate this data into smaller areas. All disaggregation methods are strongly dependent on auxiliary data, so many disaggregation approaches, including dasymetric mapping, have been discussed in the literature. At the same time, only a few software implementations exist. Their func-tionality is very limited (Intelligent Dasymetric Mapping Toolbox) or they use only one method (e.g. the areal interpolation method), or their development is no longer supported (QGIS Dasymetric plugin). Disaggregation methods involve a more complex procedure, which makes them harder to automate and program. Due to the lack of ready-to-use softwaresolutions, the Disaggregator tool for ArcGIS Pro was created and published on GitHub as freely available software. It offers several methods for aggregation and disaggregation of spatial data. The tool was tested on several statistical datasets in Czechia.

Název v anglickém jazyce

Disaggregator – a tool for the aggregation and disaggregation of spatial data

Popis výsledku anglicky

This paper describes the Disaggregator tool, developed for the aggregation and disaggregation of spatial data. There exist several types of point data that need to be aggregated for more effective visualization. On the other hand, some statistical datasets are only available for larger areas; the disaggregation procedure can recalculate this data into smaller areas. All disaggregation methods are strongly dependent on auxiliary data, so many disaggregation approaches, including dasymetric mapping, have been discussed in the literature. At the same time, only a few software implementations exist. Their func-tionality is very limited (Intelligent Dasymetric Mapping Toolbox) or they use only one method (e.g. the areal interpolation method), or their development is no longer supported (QGIS Dasymetric plugin). Disaggregation methods involve a more complex procedure, which makes them harder to automate and program. Due to the lack of ready-to-use softwaresolutions, the Disaggregator tool for ArcGIS Pro was created and published on GitHub as freely available software. It offers several methods for aggregation and disaggregation of spatial data. The tool was tested on several statistical datasets in Czechia.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50702 - Urban studies (planning and development)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Earth Science Informatics

ISSN

1865-0473

e-ISSN

1865-0481

Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

17

Strana od-do

1323-1339

Kód UT WoS článku

000738419300001

EID výsledku v databázi Scopus

2-s2.0-85122324899