- Mrs. Irena DUDOVA
- Mr. Arslan AHMEDOV
Hybrid solution in producing grid statistics Day 2, October, 24 / - - PowerPoint PPT Presentation
Hybrid solution in producing grid statistics Day 2, October, 24 / - - PowerPoint PPT Presentation
Hybrid solution in producing grid statistics Day 2, October, 24 / Established practices Work Session 1 Mrs. Irena DUDOVA Mr. Arslan AHMEDOV Day 2, October, 24 Established practices Work Session 1 1 - Population distribution of Bulgaria
Day 2, October, 24 Established practices – Work Session 1 1
Day 2, October, 24 Established practices – Work Session 1 2
- Population distribution of Bulgaria per 1 sq. km grid net - INSPIRE compliant
Day 2, October, 24 Established practices – Work Session 1 3
VI. Analyze Test Validate VII. Disseminate V. Generate Population Grid IV. Harmonize III. Build Geocoding Framework II. Data Collection I. Specify Analyze Design
NOW
Analyze
Day 2, October, 24 Established practices – Work Session 1 4
Day 2, October, 24 Established practices – Work Session 1 5
Day 2, October, 24 Established practices – Work Session 1 6
Dataset Type Coverage Coordinate systems Source
Census 2011 Statistical FULL BNSI Census Enumeration Areas Area-based PARTIAL 1970, Sofia, 1950 BNSI Grid 1 sq.km Area-based FULL ETRS89_LAEA Eurostat, EC Points of the addresses Point-based PARTIAL 1970, Sofia, 1950 Bulgarian Cadastral Agency Centroids of parcels Point-based PARTIAL 1970, Sofia, 1950 Bulgarian Cadastral Agency Borders of Administrative Units Area-based FULL WGS 1984 35N Ministry of Agriculture and Foods High resolution populated and build-up areas with land use and settlement codes Area-based PARTIAL (~95%) WGS 1984 35N Ministry of Agriculture and Foods Urban Atlas Area-based PARTIAL ETRS89_LAEA DG Regional and Urban Policy, EC
Day 2, October, 24 Established practices – Work Session 1 7
Polygons of Populated Areas of the settlements Urban Atlas Polygons Points of the addresses Points of the parcels
Day 2, October, 24 Established practices – Work Session 1 8
70586 03277 0034A
Districts Municipalities Populated Areas
- f the settlements
Addresses Localization Units
(Street, Boulevard, Square, Dwelling Complex, Neighborhood…)
Day 2, October, 24 Established practices – Work Session 1 8
70586 03277 0034A
Districts Municipalities Localization Units
(Street, Boulevard, Square, Dwelling Complex, Neighborhood…)
Addresses Populated Areas
- f the settlements
Day 2, October, 24 Established practices – Work Session 1 9
Map Features Statistical dataset
Addresses Street, Boulevard, Square, Dwelling Complex, Neighborhood… Populated places/ Settlements Municipalities Districts Identifier codes Geometries Reference data
District codes (UCATTU*) Municipality codes (UCATTU*) Settlement codes (UCATTU*) National Classification of Localization Units National Classification
- f Addresses
Statistical data
Statistics Geography
Unified Classification of Administrative-Territorial and Territorial Units
Day 2, October, 24 Established practices – Work Session 1 10
Census dataset Aggregated by building
Matching Census with geocoded address mass
Geocoded Address Collection
Matching Census with geocoded address mass
Geocoded Address Collection Match address Census dataset Aggregated by building
Day 2, October, 24 Established practices – Work Session 1 10
Matching Census with geocoded address mass
Census dataset Aggregated by building Geocoded census buildings to address points Statistics aggregated by grids
Day 2, October, 24 Established practices – Work Session 1 10
Geocoded Address Collection
Matching Census with geocoded address mass Additional steps in Aggregation phase
(Available census tracts geometries that are inside grid geometries)
Geocoded census buildings to address points Census dataset Aggregated by building Geometries of census tracts Statistics aggregated by grids Statistics aggregated by grids
Day 2, October, 24 Established practices – Work Session 1 10
Geocoded Address Collection
Matching Census with geocoded address mass Additional steps in Aggregation phase
(Available census tracts geometries that are inside grid geometries)
Geocoded census buildings to address points Census dataset Aggregated by building Geometries of census tracts Statistics aggregated by grids Statistics aggregated by grids
Day 2, October, 24 Established practices – Work Session 1 10
Geocoded Address Collection
Statistics aggregated by grids
Day 2, October, 24 Established practices – Work Session 1 10
Result: Grid generated with Aggregation techniques
Day 2, October, 24 Established practices – Work Session 1 11
Matching Census “objects” with map feature of the “object”
Census dataset Aggregated by “object”
Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Urban Atlas Populated Areas
- f the settlements
Localization Units
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Match
- bjects
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Map features
- f “the objects”
Disaggregatation by grids
Matching Census “objects” with map feature of the “object”
Day 2, October, 24 Established practices – Work Session 1 11 Binary Dasymetric (Populated Areas/Unpopulated Areas) Assuming uniform density inside the “object”
Census dataset Aggregated by “object” Urban Atlas Populated Areas
- f the settlements
Localization Units
Result: Grid generated with Disaggregation technique
Day 2, October, 24 Established practices – Work Session 1 11
Day 2, October, 24 Established practices – Work Session 1 12
Day 2, October, 24 Established practices – Work Session 1 12
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Day 2, October, 24 Established practices – Work Session 1 13
METHODS SETTLEMENTS COVERED BY YHE METHOD POPULATION DISTRIBUTED BY THE METHOD AGREGATION Address Points + census tracts 569 Settlements Points 361 DISAGGREGATION Localization Units Binary 3 Urban Atlas Binary 376 Populated and Build-up Areas Binary 4562 Total Population of Bulgaria according Census 2011
Day 2, October, 24 Established practices – Work Session 1 14 559 618 579 1176 651 509 303 225 142 557 100 200 300 400 500 600 700 800 900 1000 1100 1200 1 2 3 4 5 6 7 8 9 10+ Number of settlements Grid cells
Number of settlements by number of grid cells they cover
Day 2, October, 24 Established practices – Work Session 1 15
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- Mr. Arslan AHMEDOV
- Mrs. Irena DUDOVA
Day 2, October, 24 Established practices – Work Session 1 17