Building a Geographic Database and Using GIS and Spatial Analysis for Census Data Dissemination UN Statistics Division United Nations Regional Seminar on Census Data.
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Building a Geographic Database and Using GIS and Spatial Analysis for Census Data Dissemination UN Statistics Division United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Outline UN Recommendations/Census Geography Programme Building a Geographic Database Spatial Analysis Techniques SALB Project Handbook on Geospatial Infrastructure in Support of Census Activities United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Census Geography Programme: a continuous process The recommendations derived from UN EGM and Workshops on GIS and census mapping emphasized the need for countries to consider the census geography programme as a continuous process, rather than the sequential mapping and dissemination operations. It was also emphasized that the use of and application of contemporary geospatial technologies and geographical databases is beneficial at all stages of population and housing census process. Geospatial improve the efficiency in the preparatory, enumeration, processing and dissemination phases of the census United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Census Cycle United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Geospatial tools at all stages Pre-census (Pre-enumeration) Census (Enumeration) GPS Photo/Video Digital Mapping Satellite Imagery Post-Census (Post-enumeration) GPS/PDA GIS GIS GIS Digital Mapping EAs Units Internet (Map-Server) Administrative and Reporting Units United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Admininstration Hierarchy Provinces Every country has its own specific administrative hierarchy Districts Definition: A system by which the country and each lower level set of administrative units (except the lowest) are subdivided to form the next lower level. Localities Administrative areas for which census data will be reported Enumeration areas United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Coding Scheme EA: a basic geographic feature Need for an identifier: linking the geographic feature to the census data (attributes) recorded for them EAs and administrative units: coding scheme A unique code assigned to each EA, used in data processing Coding scheme: scalability, flexibility, intuitiveness, compatibility Example of a hierarchical coding scheme 1 2 province 0 3 district 4 0 1 2 locality 5 0 0 2 Enumeration area United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 4 Geocoding Concept “Geocoding can be broadly defined as the assignment of a code to a geographic location. Usually however, Geocoding refers to a more specific assignment of geographic coordinates (latitude, longitude) to an individual address (UN Report of the EGM on Contemporary Practices in Census Mapping and Use of GIS, 2007) Geo-coding: not limited to address-matching Geocoding covers a continuum of spatial scales: from individual housing units to enumeration area level up to higher administrative or national levels. United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Implementation of an EA database All large operational GISs are built on geodatabases; Arguably the most important part of the GIS Geodatabases form the basis for all queries, analysis, and decision-making. A DBMS, or database management system, is where databases are stored. United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Complete EA map with all components overlaid on one map display 61 27 57 65 40 43 28 349 42 60 41 19 63 64 58 59 350 20 21 8 58 2 21 19 20 23 35 29 29 28 361 eet Bonne Str Robinson Street 32 31 41 33 47 50 46 86 45 1 3 4 52 9 53 22 377 Cartania Chartes Maptown 16 11 10 9 25 378 26 8 27 32 34 10 33 21 Enumeration Area Map Province: District: Locality: EA-Code: 7 12 23 Bessel Street 54 13 15 52 51 2 14 84 85 24 51 54 58 2 83 Grinten Street 44 eet Tissot Str 27 1 88 39 Street 50 49 28 Mollweide Street Imhof Drive 48 59 29 77 78 Miller 42 43 76 80 37 40 34 374 21 20 19 82 81 87 41 30 18 Cassini Drive 79 42 Goode 33 68 69 70 38 31 32 13 362 71 43 27 28 12 36 22 30 21 22 23 Street 74 73 26 25 67 10 3 4 72 20 Cassini Drive 24 75 11 2 ive 44 15 16 64 5 Dr 51 17 18 Lambert Avenue 14 3 ue r Aven to Merca 43 45 19 13 t 38 12 65 63 Gall Street kij Street Krassows ree Snyder St 37 66 57 Tobler Street 42 62 Street 9 Street 56 59 10 11 6 eet e Str Clark 7 1 Ortelius Ptolemy 5 4 61 60 1 41 42 43 44 33 34 55 31 358 32 Eckert Drive 6 Main components are: Street network, Buildings EA boundaries layer Annotation, Symbols, Labels Building numbers Neatlines Legend 45 31 35 22 62 Symbols 14 032 0221 00361 District 358 EA-Code Locality Hospital EA N 17 Building number Church School Approximate scale 0 50 100 200m Census 2000 National Statistical Office - July 1998 United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Components of a Hypothetical urban EA map Street Network Boundaries Street Network Buildings Boundaries Annotation and symbols Buildings Anno 350 349 358 358 362 361 374 374 378 377 Building numbers Boundaries 61 27 57 35 22 65 62 40 Neatlines and Annotation and legend symbols Boundaries 31 32 43 63 28 60 41 42 20 21 42 43 44 41 33 34 57 35 22 65 62 40 350 349 6 61 32 63 42 349 60 41 59 20 21 41 42 43 44 350 33 34 64 58 6 6 4 5 61 7 1 62 31 9 5 66 56 59 10 11 6 4 5 7 1 62 10 63 64 65 3 4 57 31 10 11 12 19 13 18 2 74 73 12 67 75 9 58 23 68 71 358 18 69 43 3 17 15 16 21 22 82 81 19 25 45 27 28 29 77 78 28 1 38 88 39 21 7 51 50 49 52 50 11 44 47 46 45 1 2 3 43 59 32 34 10 378 33 21 377 Building numbers 61 57 65 40 35 22 62 42 60 41 20 21 358 EA Building number Census 2000 33 61 27 1 57 65 40 6 1 62 66 56 59 26 25 22 2 3 4 32 52 34 9 10 21 33 378 Enumeration School 5 35 63 28 45 42 60 41 20 21 33 34 64 58 59 41 42 43 44 9 8 58 65 63 64 57 10 6 3 4 61 6 37 12 42 19 13 18 2 74 73 67 75 12 4 13 72 31 17 15 16 22 21 18 44 19 81 35 24 25 26 80 36 56 59 10 9 82 20 21 65 64 63 57 5 2 10 3 4 37 12 42 19 13 18 2 38 73 74 75 67 72 76 29 66 8 58 70 11 Bangkok, Thailand, 5-8 October, 2010 11 68 71 69 3 21 7 62 20 23 43 19 5 1 14 38 51 45 1 60 55 14 20 23 68 12 Carta Char Mapt N Approxima 31 19 32 11 2 Neatlines and legend 45 United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis 10 11 8 27 16 Province: District: Locality: EA-Code: National Statistical Office July 1998 22 62 43 7 31 9 53 45 Church 6 5 7 10 Hospital Building numbers 41 42 43 44 61 4 46 377 EA-Code 11 Locality 17 60 55 54 Approximate scale 31 34 District 64 58 59 47 23 44 54 50 15 52 51 Symbols 14 032 0221 00361 N 32 63 28 13 Neatlines and legend 19 43 Cartania Chartes Maptown 49 51 50 58 1 Enumeration Area Map Province: District: Locality: EA-Code: 27 48 374 16 4 9 14 84 85 24 27 26 25 22 51 87 86 40 12 42 52 27 2 83 39 41 374 53 58 54 88 10 8 28 1 38 33 30 34 9 54 59 361 32 31 41 23 77 78 43 42 33 12 24 15 29 37 27 28 29 31 32 13 80 36 26 25 21 20 76 22 29 28 40 24 23 84 85 86 41 34 48 82 79 20 361 2 14 33 30 362 18 70 19 30 32 42 43 21 22 35 83 87 42 41 15 16 27 43 31 32 31 68 71 69 17 44 19 30 72 3 37 29 13 20 23 43 29 22 33 12 67 75 14 358 51 81 23 28 74 73 36 26 79 20 3 4 76 80 35 24 18 38 21 20 19 13 2 362 70 19 21 12 42 44 45 10 63 64 65 57 37 72 20 51 11 2 8 13 14 38 5 66 56 59 37 42 1 60 55 11 2 8 58 Ne 31 19 43 28 1 60 55 61 27 64 58 59 Building numbers Annotation and symbols 45 19 13 Entity-Relationship Example: EA entity can be linked to the entity crew leader area. The table for this entity could have attributes such as the name of the crew leader, the regional office responsible, contact information, and the crew leader code (CL code) as primary code, which is also present in the EA entity. R EA EA-code Area Pop. 1-1 Crew leader area 1-N CL-code Name RO responsible United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Components of a digital geographic census database United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Different Geographies A geography for data collection: EA level or even dwelling level Another geography for data dissemination: Aggregated level (confidentiality) United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Digital Data Dissemination Users The wide range of potential users of disaggregated census data means that the NSO needs to pursue a multi-leveled digital data dissemination strategy. Broadly, we can distinguish between the following types of users: Advanced GIS users Computer literate users Novice users United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Uses of Graphs: Enriching the Understanding of GIS Data Sets Exploratory Spatial Data Analysis Linked Maps, Graphs & Tables Dynamic Feature Selection Animation Visualization over Time United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 GIS capabilities: Visualization United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial Analysis Spatial Relationships (explicit -Topolgy) Logical connections between spatial objects represented by points, lines and polygons e.g.,- point-in-polygon; line-line; polygon-polygon Geographic Database Geographic features selection Attributes Structure United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial Operations “adjacent to” “connected to” “near to” “intersects with” “within” “overlaps” etc. United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial Analysis: Query select features by their attributes: “find all districts with literacy rates < 60%” select features by geographic relationships “find all family planning clinics within this district” combined attributes/geographic queries “find all villages within 10km of a health facility that have high child mortality” Query operations are based on the SQL (Structured Query Language) concept United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Examples: Id What is at…? Features that meet a set of criteria 0012376027 Name Population Popdens Num_H H Clinics Limop 31838 37.5 8719 8 Population density greater than 100 persons/sqkm? United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 “is nearest to” • Point/point • Which family planning clinic is closest to the village? • Point/line •Which road is nearest to the village • Same with other combinations of spatial features United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 “is near to”: Buffer Operations • Point buffer • Affected area around a polluting facility • Catchment area of a water source United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Buffer Operations • Line buffer • How many people live near the polluted river? • What is the area impacted by highway noise? United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Buffer Operations • Polygon buffer • Area around a reservoir where development should not be permitted United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 “ is within”: point in polygon • Which of the cholera cases are within the containment area United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial aggregation Example of Spatial aggregation: fusion of many provinces constituting an economic region United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial data transformation: interpolation Example: Based on a set of station precipitation surface estimates, we can create a raster surface that shows rainfall in the entire region 13.5 20.1 12.7 26.0 27.2 15.9 24.5 26.1 United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Example of linear interpolation creating contours contour lines of elevation can be derived through linear interpolation from a satellite image United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Areas of influence Commuting distances: daily commuters flow United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Modelling: smoothing Evolution of the population beetwen two censuses United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Spatial Analysis Techniques Cartograms sometimes used to display census results The areas of the original polygons are expanded or contracted based on their attribute values such as population size or voting habits United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 The Second Administrative Level Boundaries data set project (SALB) The Second Administrative Level Boundaries data set project (SALB) has been launched in 2001 in the context of the activities of the UN Geographic Information Working Group (UNGIWG) and has for objective to provide access to a working platform for the collection, management, visualization and sharing of sub national data and information in a seamless way from the national to the global level. unsalb.org United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Handbook on Geospatial Infrastructure in Support of Census Activities (2009) http://unstats.un.org/unsd/demogra phic/standmeth/handbooks/default .htm United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 Issues for consideration Do you have (or are you considering to have) a full digital Geographic Database for census operations? Are you considering to use spatial analysis to suit specific user needs? Are you partnering with other stakeholders (the public and private sector) in order to Build the NSDI Work jointly on coding efforts Produce value added products – higher demand for census data United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010 THANK YOU! United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Bangkok, Thailand, 5-8 October, 2010