Data model for working with seasonal data in webGIS

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data model for working with seasonal data in webGIS
Original language description
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
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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