class: top, left, title-slide .title[ # .font70[
GIS Applications in Planning and Environmental Analysis
] ] .subtitle[ ## .font80[Excerpt from lecture: Data Cubes for Environmental Analysis] ] .author[ ###
Dr Victor Maus ] .institute[ ### .font70[Institute for Ecological Economics
Vienna University of Economics and Business
victor.maus@wu.ac.at
victormaus.github.io
]
] .date[ ### .lecture-illustration[].wu-logo-mtg[].copyright-bottom-right[Södertörn University, April 9
th
, 2024] ] --- layout: false class: # Learning Outcome .font150[Recall the concept of space-time data cubes in geographic information systems (GIS).] # Requirements .font150[Basic knowledge of GIS data models for representing geographic information as vector and raster formats.] --- layout: false class: .pull-left[ # Data Layers <div class="left"> <img src="./img/gis.png" height="400"/> .font60[Figure: [U.S. Government Accountability Office](https://education.nationalgeographic.org/resource/geographic-information-system-gis/#undefined)] </div> ] .pull-right[ # Data Cube Structure ### Dimensions and Attributes <div class="left"> <img src="./img/space-time-cube.png" height="330"/> .font60[Figure: [ArcGIS Pro Space Time Cube](https://pro.arcgis.com/en/pro-app/3.1/tool-reference/space-time-pattern-mining/learnmorecreatecube.htm)] </div> ] --- layout: false class: # Summary .font150[ - Data cubes are a data structure where data is stored in multidimensional arrays (n-D arrays). - Data cubes are discrete and regularly sampled. - Enable effective scalability of environmental analysis. ] # Next session .font150[ - Construct data cubes using a GIS environment. - Perform basic operations with data cubes: filter, apply, reduce, and redimension. ]