Reform and Application of GIS in Surveys and Data Dissemination, a case of National Bureau of Statistics, Nigeria By Elisha FAFUNMI Head, Research & Policy Analysis National Bureau of Statistics, Nigeria Outline The Reform Application of GIS in Surveys and Data Dissemination, the Case of NBS, Nigeria GIS in Data Collection Data Preseentation/Dissemination Challenges The areas of reform process Infrastructure and Equipment. Human Resources Management and Development. Improved Data Production Methodology. Data Management, Dissemination and Access. NBS Applications Market Outlets MDA Database Frame of Household Enterprises ` Establishment Survey NBS Geo Databases Year Book Database Register of Educational Institutions Ward Statistics Database Register of Health Institutions NBS Programme for NSS NBS under NSDS is expected to create a Nigerian Data Nervous System (NDNS) By bringing all data producer and user Agencies together through a Virtual Private Network (VPN) cloud similar in structure to the Nervous system of the Human body and connected to the internet NBS & Federal MDAs VPN Design Energy NPopC Interior NBS DC Petroleum CBN Customs Industries Cycle name Finance Health Information & Comm. Head of Service Agric Labour National Assembly Education Account General Active In progress VPN Design to connect NBS & Selected Public Users Organisations NISER Manufacturers Association Of Nigeria, MAN NACCIMA Centre for Management Development Security And Exchange Commission Presidency National Planning Commission MDG Office National Assembly .. an e-Statistics grid : MDA connection to NBS 1 NBS Data Center SSA & other Connectio ns CPTC Codex Modem Codex Modem LAN CPTC CPTC Cisco Router Fibre Digital Subscriber Line DSL Cisco Router CPTC CPTC CPTC 25 MDAs State /MDA VPN Schematic Diagram 23 July 2016 Dr. V.O. Akinyosoye 9 NBS Data Centre Entrance to Data Centre Main Servers Application of GIS in Surveys and Data Dissemination the Case of NBS, Nigeria By Biyi Fafunmi Head (Research & Policy Analysis Unit), NBS Planning: Strata & Stratification • Stratification by delineation of land areas into land-use categories (strata). • The Primary Sampling Units (PSUs). • Using physical boundaries Use of Satellite Spot Imagery Spot satellite imagery was used to classify the PSUs into strata. Used primarily to ascertain where the cultivated areas are present in the case of Agric Survey within a LGA Planning • Conversion from Paper EA to Digital N.T.C Leaf barn Bapt Gramm Schl Coop Building U/C N.T.C Leaf Barn 0437 U/C Kem Clinic U/C U/C 0438 St. Thomas Church 004P/R/120 N.T.C Leaf Barn Texaco Filling Station107 109 004P/R/98 0441 0440 0439 192 169 G.M004P/R/180 Shop Strata Definitions Strata Code Description 11 High Intensity Agricultural >50% cultivated 20 Medium Intensity Agricultural 15-50% cultivated 31 Urban/Developed 40 Low Intensity Agricultural <15% cultivated 50 Non-Agricultural 62 Water Screen Shot of Strata/cutting polygon Strata constructed Spatial Analysis: Dissolve Frame and obtain strata area totals Done in ArcMap 9.2 – Using ArcToolbox Area totals summed. Area sums converted to Hectares and Sq KM. Total land in strata values used to create sample allocation Spatial Analysis: Stratification Map Sample allocations • A total of 600 points were selected for the pilot test. • These points were allocated to each of the first four strata. • A high percentage of the points were selected in the stratum where more than 50 percent of the land is cultivated, and • a low percentage of the points were selected in the stratum where less than 15 percent of the land is cultivated. • No points were selected in the non-agricultural land or water strata. Sample allocation contd. stratum stratum description possible sample total land based on sample % of (sq km) total land (ha) % of land % land points sample 11 agric land, >50% cultivation 21693.90 2169389.62 49.1% 294 350 58.3% 20 agric land, 15-50% cultivation 10019.37 1001937.45 22.7% 136 150 25.0% 31 agri-urban 334.84 33484.03 0.8% 5 20 3.3% 41 agric land, <15% cultivation 11710.74 1171074.26 26.5% 159 80 13.3% 50 non-agric land 360.52 36052.34 0.8% 5 0 62 water (min 1 sq km) 101.27 10126.90 0.2% 1 0 44220.65 4422064.59 600 600 TOTAL Use Hawthorne Tools to allocate sample points Google: Hawth tools extension used for sampling tools. Random point sampling, allocate sample by stratification category method was used Sample Allocation…. 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