Data model for working with seasonal data in webGIS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F16%3A72188" target="_blank" >RIV/60460709:41110/16:72188 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Data model for working with seasonal data in webGIS

Popis výsledku v původním jazyce

This paper deals with problems that occur when creating web GIS application that works with data that change in time. When working with data used in agriculture its often needed to not only work with current spatial data, but we often want to work with history, more specifically seasonal data. We need to work with multiple data sets gathered in recurring time frames. This requires special type of data model that works effectively with not only data but also with metadata. Used data and methods include data modeling, relational modeling, normalization, UML, work with metadata according to Inspire Directive and ISO19115. Work with spatiotemporal data in relation database and KML format. This paper presents data model for storing seasonal data often used in agriculture. This model is optimized for use as base for web application and deals with problems that come with it, including optimalization for commonly used queries and storing and easy use of metadata. Resulting data model is presented i

Název v anglickém jazyce

Data model for working with seasonal data in webGIS

Popis výsledku anglicky

This paper deals with problems that occur when creating web GIS application that works with data that change in time. When working with data used in agriculture its often needed to not only work with current spatial data, but we often want to work with history, more specifically seasonal data. We need to work with multiple data sets gathered in recurring time frames. This requires special type of data model that works effectively with not only data but also with metadata. Used data and methods include data modeling, relational modeling, normalization, UML, work with metadata according to Inspire Directive and ISO19115. Work with spatiotemporal data in relation database and KML format. This paper presents data model for storing seasonal data often used in agriculture. This model is optimized for use as base for web application and deals with problems that come with it, including optimalization for commonly used queries and storing and easy use of metadata. Resulting data model is presented i

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

AGRARIAN PERSPECTIVES XXV.

ISBN

978-80-213-2670-5

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

155-161

Název nakladatele

Czech University of Life Sciences Prague

Místo vydání

Prague, Czech Republic

Místo konání akce

Czech University of Life Sciences Prague

Datum konání akce

14. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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