Source code to generate LoD1 CityGML models from city area maps (doi:10.21979/N9/FBWTIC)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Source code to generate LoD1 CityGML models from city area maps

doi:10.21979/N9/FBWTIC

DR-NTU (Data)

2020-08-11

2

Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate LoD1 CityGML models from city area maps", https://doi.org/10.21979/N9/FBWTIC, DR-NTU (Data), V2, UNF:6:zN4RTInDz93o+Dgg2Xk9oA== [fileUNF]

Source code to generate LoD1 CityGML models from city area maps

doi:10.21979/N9/FBWTIC

Erdt, Marius (Nanyang Technological University)

Zhang, Xingzi (Nanyang Technological University)

Johan, Henry (Nanyang Technological University)

Python

NRF2015VSG-AA3DCM001-004

DR-NTU (Data)

Erdt, Marius

Erdt, Marius

2020-03-23

https://doi.org/10.21979/N9/FBWTIC

Computer and Information Science, Engineering, Computer and Information Science, Engineering, Building model LoD 1 generation

Application source code to generate level of detail 1 models in CityGML format from an input image. In particular, the image has to be a city area map showing ground plans of buildings.

Program source code

This is the code package for a tool to generate an LOD1 CityGML model based on one or more scanned layout plans. The expected input layout plans have to be similar to the example in 'Input/demo'. The city area name and building block numbers in the plan have to be readable.

• Number of cases: 12036

• No. of variables per record: 24

• Type of File: text/tab-separated-values

UNF:6:zN4RTInDz93o+Dgg2Xk9oA==

• blk_no - blk_no
• street - street
• max_floor_lvl - max_floor_lvl
• year_completed - year_completed
• residential - residential
• commercial - commercial
• market_hawker - market_hawker
• miscellaneous - miscellaneous
• multistorey_carpark - multistorey_carpark
• precinct_pavilion - precinct_pavilion
• bldg_contract_town - bldg_contract_town
• total_dwelling_units - total_dwelling_units
• 1room_sold - 1room_sold
• 2room_sold - 2room_sold
• 3room_sold - 3room_sold
• 4room_sold - 4room_sold
• 5room_sold - 5room_sold
• exec_sold - exec_sold
• multigen_sold - multigen_sold
• studio_apartment_sold - studio_apartment_sold
• 1room_rental - 1room_rental
• 2room_rental - 2room_rental
• 3room_rental - 3room_rental
• other_room_rental - other_room_rental

f43569 Location:

Variable Format: character

Notes: UNF:6:PyCTWZOi1OE3cz/1htTvXw==

f43569 Location:

Variable Format: character

Notes: UNF:6:UXhme0CXynvJ3Lch3r69VA==

f43569 Location:

Summary Statistics: Mean 11.97997673645718; Min. 1.0; StDev 6.914806968588172; Valid 12036.0; Max. 50.0

Variable Format: numeric

Notes: UNF:6:bV/fQihv/MFlrTFcEUbr+w==

f43569 Location:

Summary Statistics: StDev 13.411560446120212; Min. 1937.0; Valid 12036.0; Max. 2018.0; Mean 1992.6094217347975

Variable Format: numeric

Notes: UNF:6:Ji8cApdDA1qm5Pq5YbJCoA==

f43569 Location:

Variable Format: character

Notes: UNF:6:7QFBRtIAHLYCSRZ37B9bjg==

f43569 Location:

Variable Format: character

Notes: UNF:6:dPPNVl3DEiQj4dJY3IsbAw==

f43569 Location:

Variable Format: character

Notes: UNF:6:xdn7PL8kAVhBkTU2ppKr7w==

f43569 Location:

Variable Format: character

Notes: UNF:6:bbuzvtFNIstr0kJQ0GbfuA==

f43569 Location:

Variable Format: character

Notes: UNF:6:CpPoCth/1OGzfL3PBz/hxA==

f43569 Location:

Variable Format: character

Notes: UNF:6:2dFhoaC6T8AgddbftESQSg==

f43569 Location:

Variable Format: character

Notes: UNF:6:tTT/Ua0psB2IA7dbTpWIhA==

f43569 Location:

Summary Statistics: Max. 584.0; Valid 12036.0; Mean 87.48828514456511; StDev 65.1496499460552; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:GtrRwXlaOveDryGwAqhMeA==

f43569 Location:

Summary Statistics: StDev 2.3243369748989835; Min. 0.0; Mean 0.021186440677963863; Valid 12036.0; Max. 255.0;

Variable Format: numeric

Notes: UNF:6:zqCY/YMAntV7dlm18wYxxQ==

f43569 Location:

Summary Statistics: Min. 0.0; Mean 1.7567298105683022; StDev 11.532341779905272; Max. 225.0; Valid 12036.0;

Variable Format: numeric

Notes: UNF:6:aPXsIf8Bgh7R7Gg4qVj7pQ==

f43569 Location:

Summary Statistics: Min. 0.0; Mean 19.947906281155102; Max. 528.0; Valid 12036.0; StDev 45.68214484776335;

Variable Format: numeric

Notes: UNF:6:Dw+KvZ2wwDCIN3V8YQge4A==

f43569 Location:

Summary Statistics: StDev 40.73885002875834; Valid 12036.0; Mean 34.54303755400421; Min. 0.0; Max. 316.0

Variable Format: numeric

Notes: UNF:6:Y2OQXssQdyO8l0ogVhCdHA==

f43569 Location:

Summary Statistics: Min. 0.0; Max. 164.0; StDev 29.93991377750496; Valid 12036.0; Mean 19.961532070455704;

Variable Format: numeric

Notes: UNF:6:Puki9lnU1fAE3Z2RITFwpw==

f43569 Location:

Summary Statistics: Min. 0.0; StDev 17.71304465588156; Max. 135.0; Mean 5.377617148554006; Valid 12036.0;

Variable Format: numeric

Notes: UNF:6:XZZBYM8OQk0PWBrtkvDP+Q==

f43569 Location:

Summary Statistics: Mean 0.030491857760055897; Valid 12036.0; StDev 1.253621575055617; Min. 0.0; Max. 66.0

Variable Format: numeric

Notes: UNF:6:DaHa5TDzQrfUPDGNhXcrUw==

f43569 Location:

Summary Statistics: Min. 0.0; Mean 0.7407776669991087; StDev 8.317960636981383; Max. 215.0; Valid 12036.0;

Variable Format: numeric

Notes: UNF:6:/e0IKKHckmdZwJascdEKzg==

f43569 Location:

Summary Statistics: Mean 2.4829677633764846; Valid 12036.0; StDev 24.744785400548484; Max. 520.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vDDLZS97ujs4+TslWQgAaw==

f43569 Location:

Summary Statistics: Mean 2.5102193419743744; StDev 21.63749331586594; Min. 0.0; Valid 12036.0; Max. 452.0

Variable Format: numeric

Notes: UNF:6:CDrqrhpM52MaO8f3YPnTYw==

f43569 Location:

Summary Statistics: Valid 12036.0; Mean 0.10626453971420191; StDev 2.629371152807629; Max. 114.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:YnEL5C+0JgThPrFp4IwGaQ==

f43569 Location:

Summary Statistics: Min. 0.0; Mean 0.009554669325359127; Max. 32.0; StDev 0.5217258449942223; Valid 12036.0

Variable Format: numeric

Notes: UNF:6:Vc/sNYxmmiZa52W1G+IIjw==

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Generation of 3D Building Models from Archived City Area Maps by Fusing Information from Multiple Sources.pdf

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This paper proposes a pipeline for the automatic generation of 3D building models for city areas based on information from archived city area maps.

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