SMT201 AY2019-20T1 EX2 Lim Jia Khee

Part 1: Data visualisation of vector layers

Views (from top left to bottom left, clockwise direction)	Description (within 100 words)
Study area and target roads layer	After filtering our initial road layer for two types of roads, namely Service and Track roads, there are a total of 188 different road osm_id. Of the 188 different road types, there are only two track roads and the remaining 186 roads being of service type.
Study area and buildings layer	There was no filtering done for this building layer. Of 527 different building osm_id there were only 22 rows where the building types were listed. The remaining 505 rows did not specify their building type.
Study area and digital elevation layer	The lowest ground in Gombak Planning subzone is 9 metres above sea level, while the highest ground in Gombak Planning subzone is 145 metres above sea level. From the Digital Elevation Map (DEM), the elevation of Gombak appears to follow that of a small hill.
Study area and target natural features layer	After filtering for only parks, water and forest nature types, there are eight such features present in Gombak Planning subzone. Forest features are denoted with a shade dark green as compared to the park features.

Part 2: Proximity Analysis, Raster Layers

Views (from top left to bottom left, clockwise direction)	Description (within 100 words)
Study area and target roads layer	Inside Airbnb
Study area and buildings layer	City of Seattle Open Data Portal
Study area and digital elevation layer	Seattle.gov
Study area and target natural features layer	Seattle GIS Open Data

Part 3: Standardisation of Proximity Analysis, Min-Max method

Views (from top left to bottom left, clockwise direction)	Description (within 100 words)
Study area and target roads layer	Inside Airbnb
Study area and buildings layer	City of Seattle Open Data Portal
Study area and digital elevation layer	Seattle.gov
Study area and target natural features layer	Seattle GIS Open Data

Part 4: Analytical Hierarchical Process (AHP) input matrix and result report

Data	Source	Data Description	Source URL	Data Type
Seattle Open Airbnb Data	Inside Airbnb	Information on all Airbnb listings found within Downtown Seattle, last scrapped on 15 November 2018	http://insideairbnb.com/get-the-data.html	CSV File
Common Place Name (CPN)	City of Seattle Open Data Portal	A point feature class showing common place names and corresponding locations in Seattle.	https://data.seattle.gov/Land-Base/Common-Place-Names-CPN-/599c-9ddc	CSV File
City Clerk Neighbourhoods	Seattle.gov	Displays the 20 Large City Clerk neighborhood boundaries, along with their smaller neighborhood boundaries.	https://data.seattle.gov/dataset/City-Clerk-Neighborhoods/926y-cwh9	SHP File
Zoning (Generalized)	Seattle GIS Open Data	A polygon feature class showing zoning areas. It also provides information on the type of zoning such as Downtown, Major Institutions, Manufacturing/Industrial, Multifamily, Neighbourhood/Commercial, Residential/Commercial and Single Family.	https://data-seattlecitygis.opendata.arcgis.com/datasets/a85e74dac41d43cab5a8b840558c4d77_3?page=15	SHP File

Part 5: Suitable landlot(s) identified

Data	Source	Data Description	Source URL	Data Type
Seattle Open Airbnb Data	Inside Airbnb	Information on all Airbnb listings found within Downtown Seattle, last scrapped on 15 November 2018	http://insideairbnb.com/get-the-data.html	CSV File
Common Place Name (CPN)	City of Seattle Open Data Portal	A point feature class showing common place names and corresponding locations in Seattle.	https://data.seattle.gov/Land-Base/Common-Place-Names-CPN-/599c-9ddc	CSV File
City Clerk Neighbourhoods	Seattle.gov	Displays the 20 Large City Clerk neighborhood boundaries, along with their smaller neighborhood boundaries.	https://data.seattle.gov/dataset/City-Clerk-Neighborhoods/926y-cwh9	SHP File
Zoning (Generalized)	Seattle GIS Open Data	A polygon feature class showing zoning areas. It also provides information on the type of zoning such as Downtown, Major Institutions, Manufacturing/Industrial, Multifamily, Neighbourhood/Commercial, Residential/Commercial and Single Family.	https://data-seattlecitygis.opendata.arcgis.com/datasets/a85e74dac41d43cab5a8b840558c4d77_3?page=15	SHP File