Difference between revisions of "SMT201 AY2019-20T1 EX2 Chong Yun Yu"
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== Criterion Scores on the Four Decision Factors == | == Criterion Scores on the Four Decision Factors == | ||
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− | Data Source: | + | Data Source: Master Plan 2014 Subzone Boundary (No Sea) (SHP) from URA.[https://data.gov.sg/dataset/master-plan-2014-subzone-boundary-no-sea]. Roads, Buildings and Natural (SHP) from OpenStreetMap.[https://download.bbbike.org/osm/bbbike/Singapore/]. ASTER Global Digital Elevation Model (GDEM) dataset (TIFF) jointly prepared by NASA and METI, Japan; raster dataset combined by Professor Kam Tin Seong.[https://search.earthdata.nasa.gov/search?m=-7.175!25.59375!1!1!0!0%2C2]. |
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Revision as of 17:45, 3 November 2019
Contents
Building a National Communicable Disease Quarantine Centre
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Data Source: Master Plan 2014 Subzone Boundary (No Sea) (SHP) from URA.[1]. Roads, Buildings and Natural (SHP) from OpenStreetMap.[2]. ASTER Global Digital Elevation Model (GDEM) dataset (TIFF) jointly prepared by NASA and METI, Japan; raster dataset combined by Professor Kam Tin Seong.[3].
Accessibility Factor (Roads)
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Health Risk Factor (Buildings)
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Natural Conservation Factor (Natural Features)
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Economic Factor (Elevation)
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Proximity Analysis on the Four Decision Factors
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Data Source: Master Plan 2014 Subzone Boundary (No Sea) (SHP) from URA.[4]. Roads, Buildings and Natural (SHP) from OpenStreetMap.[5]. ASTER Global Digital Elevation Model (GDEM) dataset (TIFF) jointly prepared by NASA and METI, Japan; raster dataset combined by Professor Kam Tin Seong.[6].
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Proximity to Roads
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Proximity to Buildings
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Proximity to Nature
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Slope
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Criterion Scores on the Four Decision Factors
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Data Source: Master Plan 2014 Subzone Boundary (No Sea) (SHP) from URA.[7]. Roads, Buildings and Natural (SHP) from OpenStreetMap.[8]. ASTER Global Digital Elevation Model (GDEM) dataset (TIFF) jointly prepared by NASA and METI, Japan; raster dataset combined by Professor Kam Tin Seong.[9].
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Analytical Hierarchical Process Input Matrix and Result Report
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Data Source:
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Suitable Land Lots Identified
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Data Source:
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