Spatial Analysis in Geomatics
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73603264" target="_blank" >RIV/61989592:15310/20:73603264 - isvavai.cz</a>
Výsledek na webu
<a href="https://obd.upol.cz/id_publ/333183150" target="_blank" >https://obd.upol.cz/id_publ/333183150</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-26626-4_3" target="_blank" >10.1007/978-3-030-26626-4_3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Spatial Analysis in Geomatics
Popis výsledku v původním jazyce
For processing geodata there are many different approaches of which all of them require their own specific input data and parameters to gen- erate an outcome that suits the respective case of application. This chapter introduces the most common analyses that are conducted using a GIS. From basic tools like buffering certain vector geometries or merging operations of two different datasets to interpolating area wide raster datasets out of point data there is a huge variety of different toolsets that can be applied when using geodata. To understand why and how these toolsets are utilised, how they are parametrized and which other things are important to make proper use of all the different possibilities these toolsets are providing, this chapter sums up the analyses in reasoned groups and illustrates the many different approaches of spatial analyses through proper examples and depictions.
Název v anglickém jazyce
Spatial Analysis in Geomatics
Popis výsledku anglicky
For processing geodata there are many different approaches of which all of them require their own specific input data and parameters to gen- erate an outcome that suits the respective case of application. This chapter introduces the most common analyses that are conducted using a GIS. From basic tools like buffering certain vector geometries or merging operations of two different datasets to interpolating area wide raster datasets out of point data there is a huge variety of different toolsets that can be applied when using geodata. To understand why and how these toolsets are utilised, how they are parametrized and which other things are important to make proper use of all the different possibilities these toolsets are providing, this chapter sums up the analyses in reasoned groups and illustrates the many different approaches of spatial analyses through proper examples and depictions.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Spationomy : Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics
ISBN
978-3-030-26625-7
Počet stran výsledku
28
Strana od-do
65-92
Počet stran knihy
325
Název nakladatele
Springer
Místo vydání
Heidelberg
Kód UT WoS kapitoly
—