Application Studies using GRAM GIS

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Application Studies using GRAM GIS
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GIS And Its Application In Health Sector A
Health GIS For Directorate Of Health
Maharashtra Service Availability Mappingof
HIV/AIDS in Maharashtra State
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Project Objectives

• Creation Of Spatial Database For District And
• Tehsil Level
• Linking Of Spatial Database With Field Survey
• Data
• Devoloping Health GIS using GRAM GIS
• Generation Of Interactive Maps
• Training District Level Officials On Use Of
• GRAM Health GIS

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Map of Maharashtra State
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Screenshot of Database showing different Tables
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Environmental Study for Barvi Reservoir,
Maharashtra.
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Crop Suitability Studyfor Koulagi Village,
Bijapur District, KarnatakaRegional Agriculture
Research Station, Bijapur.
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Wasteland Development PlanNanashi Village,
Dindori Taluka, Nashik District
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Development of Spatial Resources Profile for
Patiala District

• Data Used
• IRS LISS III 2 Seasons FCC (150000) and IRSLISS
  III and PAN
• Toposheets (SOI)
• Village Boundary, Soil, Hydrogeomorphology (PRSC)
• Land Capability, Land Irrigability,
  Physiography, Saline and Alkaline land and Crop
  Combination (NBSS LUP)
• Groundwater data (CGWB, Dept. of Water Resources,
  Punjab)
• Census Handbook and Gazetteer
• Education Dept. Data CD
• Socio Economic and Infrastructure Data
• URL - www.punjab.gov.in

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Spatial Data Layers Prepared For All Blocks
Block Boundary, Panchayat Boundary, Village
Boundary, Land use, Physiography,
Hydrogeomorphology, Soil, Land Capability, Land
Irrigability, Salt Affected Areas, Crop
Combination, Settlement Patterns, Drainage,
Canal, Depth to Water (June, October), Roads
Railway Lines, Imp Locations.
Associated Database
1991 Census Data (Village wise) Education,
Drinking Water, Communication, Postal Facility,
Medical Facility, Irrigated Area, Agricultural
Implements, Area under different crops,
Educational Facilities, Infrastructure, Health
Institution, Industry, Loans, Livestock,
Self-Employment.
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AN APPLICATION OF GRAM FOR RURAL DEVELOPMENT
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Background

• Technology Resource Centers (TRC) at various
  blocks of Madhya Pradesh and Chattisgargh states
  are operating under an UNDP-DST sub-programme on
  TDC-TRC Network.
• Under the sub-programme a detailed house-to-house
  surveys were conducted to understand the human
  development status in all the houses (2,28,850)
  of the all the ten blocks.
• Simultaneously each village (1,611) of all the
  blocks is mapped at cadastral level (14,000) to
  assess the natural resource potential.

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Location
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Methodology

• Assigning typical ID for each village. Ex.
  M010101
• Converting house-hold survey schedules as
  database records
• Parameters for house hold survey
• 1. Demographic Details 2. Income Generation
• 3. House Hold Inventory 4. Expenditure Pattern
  
• 5. Marketing Ability 6. Medical Background
• 7. Social Linkages 8. Migration Attitude
• 9. Transportation Linkages 10. Technological
  Experience
• 11. Unemployment Details

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Methodology (Contd..)
Creation of Spatial Database in GRAM
environment Elements of Database Point Layers
30 Items Ex. Wells, Schools, Post
Office Segment Layers 17 Items Ex. Road,
Electricity, Drainage Polygon Layers 5 Items
Ex. Village Boundary, Land use, Water Bodies
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Methodology (Contd..)

• Integration of Elements
• Estimation of aggregates for each village from
  house hold data
• Linking of non-spatial data sets to spatial
  objects
• Cross validation of data sets from census data
• Creation of mosaic from village level maps to
  block level map
• Transfer of village level aggregate features to
  block level map

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Development of Indices

• Three Types
• Human-Capital Index
• Socio-Economic Index
• Agro-ecological Index
• The above indices are integrated to generate
• Resources Development Index Map

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Human Capital Index

• This is determined by estimation of
• Pressure on Working Class Index
• Rural Female Literacy Rate Index
• Sex Ratio Index

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Agro-ecological Index

• This is determined by
• Percentage of Crop area Index
• Well Index
• Total Agriculture Income Index

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Agro-ecological Index
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Socio Economic Index

• Determined by the estimation of
• Type of House Hold Index
• Electrified Household Index
• Kerosene Lighted Household Index
• Wood Fueled Household Index
• Kerosene Fueled Household Index
• Household Income Index
• Live Stock Index
• Road Index
• Tractors Index

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Conclusion

• This project illustrates effective usage of IT
  including GIS for identifying developmental
  programs based on local human and natural
  resources available.
• Based on the inputs from the needs assessment and
  identification of high stress regions through
  indexing, the programme is oriented in proper
  direction.
• The suggestions made based on the assessment done
  above to improve income generation for the local
  population.
• Indigenous GRAM GIS tools were effectively used
  for the purpose.