HgIS

Správa a analýza dat o životním prostředí
Environmental data management and analysis

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en:concept [2019-05-10]
en:concept [2019-06-23] (current)
Kamil Nešetřil [System Architecture]
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 ====== System Architecture ====== ====== System Architecture ======
-This is the technical description of HgIS. It is not very useful for users not interested in information technology.+<WRAP box> ​This is the technical description of HgIS. It is not very useful for users not interested in information technology.
  
-The architecture of the system corresponds to a spatial business intelligence solution (GeoBI) – a combination of BI and GIS.+The architecture of the system corresponds to a spatial business intelligence solution (GeoBI) – a combination of BI and GIS. </​WRAP>​
 ===== Analysis ===== ===== Analysis =====
 The data needed to develop groundwater models are of different types. They are time-dependent and fully 3D. The source data exist in different formats as databases, data exchange formats (e.g. DBF, XML or flat files), archive data (e.g. MS Excel or MS Word), spatial data (e.g. ESRI SHP, KML or geodatabases). These data need to be retrieved into a single data structure to be used together. Highly structured data usually do not contain any interpretation or additional knowledge. Therefore it is necessary to adequately store and process all types of data. Some should be saved in a structured form so it can be further used (creating graphs, tables, maps, cross sections, etc.). Other data are used ad-hoc in the form it was obtained in so it is sufficient just to be stored and accessible – e.g. in the file system. The data and processes are depicted in table 1 that stands for the data flow diagram. The data needed to develop groundwater models are of different types. They are time-dependent and fully 3D. The source data exist in different formats as databases, data exchange formats (e.g. DBF, XML or flat files), archive data (e.g. MS Excel or MS Word), spatial data (e.g. ESRI SHP, KML or geodatabases). These data need to be retrieved into a single data structure to be used together. Highly structured data usually do not contain any interpretation or additional knowledge. Therefore it is necessary to adequately store and process all types of data. Some should be saved in a structured form so it can be further used (creating graphs, tables, maps, cross sections, etc.). Other data are used ad-hoc in the form it was obtained in so it is sufficient just to be stored and accessible – e.g. in the file system. The data and processes are depicted in table 1 that stands for the data flow diagram.
en/concept.1557469073.txt.gz · Last modified: 2019-05-10