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High Resolution Analysis of Settlement Structure on Base of Topographical Raster Maps - Method and Implementation   Gotthard Meinel Leibniz Institute of Ecological and Regional Development, Dresden/Germany (IOER)
Basic Idea of our Development ,[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background for the Development ,[object Object],[object Object],[object Object],[object Object],[object Object]
Goals of Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problem: Data Access in Germany ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Requirements on Database ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview Spatial Base Data (Topographic Geodata) in Germany ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Process Overview
Ground plan of DTK25-V Map Problem: mix of buildings, streets and scripts
Building extraction
Building mask
Ground plan DTK25-V   Building extraction Building indicators    Vectorization and measurement  Building Extraction and Measurement
Workflow SEMENTAĀ® Generation building layer Data base Calculation building indicators Result: High resolution settlement indicators Calculation block indicators   Rule based classification Combining with mean density values
  Example Building parameter Building perimeter   Peri = 247 m Area of enclosed  rectangle (area minimized) AreaRect = 2714 mĀ²
Some selected Building Parameters overall  46 building parameters Variable Building indicator Range of Values AREAH Building area 87ā€¦38042 mĀ² PERI Building perimeter 42ā€¦5408 m AREARECT Area of  enclose rectangle 92ā€¦188714 mĀ² RATIOAREA Ratio AREAH/AREARECT 0,12ā€¦1,0 RECTRATIO Ratio length/width of enclose rectangle 1ā€¦12 RECTLENG Length enclose rectangle  10ā€¦843 m RECTWID Width of enclose rectangle (=approximate building width) 6ā€¦258 m PATIO Number of inside courts 0ā€¦6 MAXWIDTH Maximal building width (=maximal inner circle) 1ā€¦69 m MAXDIAM Diameter of enclose circle 8ā€¦852 m HR Affiliation probability to class ā€œhigh riseā€œ 0/0,5/1 MINBUDIST Minimal building distance in 100m-Buffer 0ā€¦100 m MEANBUDIS Mean building distance in 100-Buffer 0ā€¦81 m MINBLDIST Minimal building distance to block boundary 0ā€¦143 m NUALLJUNC Number of building junction 0ā€¦15 PCLLENGTH Length of building basic line 8ā€¦1701 m
Building Typology for Classification Level 1 Level 2 Code Name Code Short-Name Name 1 Multi-family house in closed block structure 11 MFH-G Multi-family house, traditional in closed structure 12 MFH-F Multi-family house, (traditional or new) free-standing 2 Multi-family house in open block structure 21 MFH-TZ Multi-family house, traditional in rows 22 MFH-IZ Multi-family house, industrial in rows 23 MFH-HH Tower block >50m 3 Detached, semi-detach. and row houses 31 EZFH Detached and semi-detached houses (EZFH) 32 RH Row houses 33 DH Traditional village-style house 4 Non-residential 41 IG Industry/commerce 42 BFP Strong functional profile such as administration, health/social, education/research, culture etc.
Classification Building extraction and classification Modelling of settlement structure
Building classification - first level Building classification by shape - Evaluation of building style (e.g.  line, small) - using only building parameters
Building classification - second level Building classification by type - Evaluation of block parameters (e.g. Density, gap, land use class) - Calculation of more parameters  (area part in block)
Block classification (on base on buildings) Block classification - dominant building type  determine block type - combination of area- and  count dominant principle
Calculation of flat and inhabitant densities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Processing Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview Statistic Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results (inhabitants density for city Bonn) Calculation Reference
Program Implementation Se ttle mentA nalyzer - SEMENTAĀ® (patent procedure is running)
Requirements for Program Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ArcGIS Extension SEMENTA Ā®
Program modules of SEMENTAĀ® ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Parameter settings in SEMENTAĀ® choice input data output vector or raster regional density parameters
Status information in SEMENTAĀ®
Implementation of SEMENTAĀ® ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Output of SEMENTAĀ® ArcMap-Project with 17 Layers and intelligent cartographic visualization (predefined legend)
Results for Dresden ā€“ Building Types
Results for Dresden - Footprint Density
Result for Dresden ā€“ Flat Density (100m-Raster) Dresden - Center
Potential ā€“ 3D-Visualization Example Dresden-Striesen
Application Fields of SEMENTAĀ® ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problems ,[object Object],[object Object],[object Object],[object Object]
Further Developments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Ground plan DTK25-V Map Problem: mix of buildings, streets and scripts
Results for Dresden - Residential Density
Results for Dresden ā€“ Block Types
Overview Workflow ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ex-post Analysis  (change detection) Time slot t 1-x Time slot t 1 Indicator (t 1  ā€“ t 1-x ) Value Settlement area 2,1 Hectare Number new buildings 11 Building demolition 1 Floor area 6.400 mĀ² ā€¦  inside development 2.600 mĀ² ā€¦  outside development 3.800 mĀ² Fraction Inside dev. 40 % Density new Buildings 18 WE/ha
Empirisch ermittelte Dichtereferenz Abb. 7: GebƤudegrundflƤche pro Einwohner (Dresden)
Ergebnis Dresden - Einwohnerdichte (100m-Rasterzellen) Dresden - Zentrum
Ergebnisbeispiel Einwohnerdichte (Dresden) Vorhersage Referenz
Ergebnisbeispiel Einwohnerdichte (Bonn) Vorhersage Referenz
Comparison DTK25-V (Old Graphic) andDTK25 (New Graphic) DTK25-V (old) DTK25 (new)
Failure Building Footprint (DTK25-V) Examples for form and area generalization in DTK25-V (red) in comparison with reference DSK (blue)
Topicality of DTK25-V

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Iccsa 2008 Gotthard Meinel

  • 1. High Resolution Analysis of Settlement Structure on Base of Topographical Raster Maps - Method and Implementation Gotthard Meinel Leibniz Institute of Ecological and Regional Development, Dresden/Germany (IOER)
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 10. Ground plan of DTK25-V Map Problem: mix of buildings, streets and scripts
  • 13. Ground plan DTK25-V Building extraction Building indicators Vectorization and measurement Building Extraction and Measurement
  • 14. Workflow SEMENTAĀ® Generation building layer Data base Calculation building indicators Result: High resolution settlement indicators Calculation block indicators Rule based classification Combining with mean density values
  • 15. Example Building parameter Building perimeter Peri = 247 m Area of enclosed rectangle (area minimized) AreaRect = 2714 mĀ²
  • 16. Some selected Building Parameters overall 46 building parameters Variable Building indicator Range of Values AREAH Building area 87ā€¦38042 mĀ² PERI Building perimeter 42ā€¦5408 m AREARECT Area of enclose rectangle 92ā€¦188714 mĀ² RATIOAREA Ratio AREAH/AREARECT 0,12ā€¦1,0 RECTRATIO Ratio length/width of enclose rectangle 1ā€¦12 RECTLENG Length enclose rectangle 10ā€¦843 m RECTWID Width of enclose rectangle (=approximate building width) 6ā€¦258 m PATIO Number of inside courts 0ā€¦6 MAXWIDTH Maximal building width (=maximal inner circle) 1ā€¦69 m MAXDIAM Diameter of enclose circle 8ā€¦852 m HR Affiliation probability to class ā€œhigh riseā€œ 0/0,5/1 MINBUDIST Minimal building distance in 100m-Buffer 0ā€¦100 m MEANBUDIS Mean building distance in 100-Buffer 0ā€¦81 m MINBLDIST Minimal building distance to block boundary 0ā€¦143 m NUALLJUNC Number of building junction 0ā€¦15 PCLLENGTH Length of building basic line 8ā€¦1701 m
  • 17. Building Typology for Classification Level 1 Level 2 Code Name Code Short-Name Name 1 Multi-family house in closed block structure 11 MFH-G Multi-family house, traditional in closed structure 12 MFH-F Multi-family house, (traditional or new) free-standing 2 Multi-family house in open block structure 21 MFH-TZ Multi-family house, traditional in rows 22 MFH-IZ Multi-family house, industrial in rows 23 MFH-HH Tower block >50m 3 Detached, semi-detach. and row houses 31 EZFH Detached and semi-detached houses (EZFH) 32 RH Row houses 33 DH Traditional village-style house 4 Non-residential 41 IG Industry/commerce 42 BFP Strong functional profile such as administration, health/social, education/research, culture etc.
  • 18. Classification Building extraction and classification Modelling of settlement structure
  • 19. Building classification - first level Building classification by shape - Evaluation of building style (e.g. line, small) - using only building parameters
  • 20. Building classification - second level Building classification by type - Evaluation of block parameters (e.g. Density, gap, land use class) - Calculation of more parameters (area part in block)
  • 21. Block classification (on base on buildings) Block classification - dominant building type determine block type - combination of area- and count dominant principle
  • 22.
  • 23.
  • 24.
  • 25. Results (inhabitants density for city Bonn) Calculation Reference
  • 26. Program Implementation Se ttle mentA nalyzer - SEMENTAĀ® (patent procedure is running)
  • 27.
  • 29.
  • 30. Parameter settings in SEMENTAĀ® choice input data output vector or raster regional density parameters
  • 31. Status information in SEMENTAĀ®
  • 32.
  • 33. Output of SEMENTAĀ® ArcMap-Project with 17 Layers and intelligent cartographic visualization (predefined legend)
  • 34. Results for Dresden ā€“ Building Types
  • 35. Results for Dresden - Footprint Density
  • 36. Result for Dresden ā€“ Flat Density (100m-Raster) Dresden - Center
  • 37. Potential ā€“ 3D-Visualization Example Dresden-Striesen
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43. Ground plan DTK25-V Map Problem: mix of buildings, streets and scripts
  • 44. Results for Dresden - Residential Density
  • 45. Results for Dresden ā€“ Block Types
  • 46.
  • 47. Ex-post Analysis (change detection) Time slot t 1-x Time slot t 1 Indicator (t 1 ā€“ t 1-x ) Value Settlement area 2,1 Hectare Number new buildings 11 Building demolition 1 Floor area 6.400 mĀ² ā€¦ inside development 2.600 mĀ² ā€¦ outside development 3.800 mĀ² Fraction Inside dev. 40 % Density new Buildings 18 WE/ha
  • 48. Empirisch ermittelte Dichtereferenz Abb. 7: GebƤudegrundflƤche pro Einwohner (Dresden)
  • 49. Ergebnis Dresden - Einwohnerdichte (100m-Rasterzellen) Dresden - Zentrum
  • 52. Comparison DTK25-V (Old Graphic) andDTK25 (New Graphic) DTK25-V (old) DTK25 (new)
  • 53. Failure Building Footprint (DTK25-V) Examples for form and area generalization in DTK25-V (red) in comparison with reference DSK (blue)