Application Studies using GRAM++ GIS

GIS And Its Application In Health GIS And Its Application In Health SectorSector

A Health GIS For Directorate Of Health A Health GIS For Directorate Of Health MaharashtraMaharashtra

Service Availability Mappingof HIV/AIDS in Maharashtra State

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

Map of Maharashtra StateMap of Maharashtra State

Screenshot of Database showing different Tables

Environmental Study for Barvi Reservoir, Maharashtra.

Crop Suitability Studyfor Koulagi Village, Bijapur District, KarnatakaRegional Agriculture Research Station, Bijapur.

Wasteland Development PlanNanashi Village, Dindori Taluka, Nashik District

Development of Spatial Resources Development of Spatial Resources Profile for Profile for

Patiala DistrictPatiala DistrictData Used

IRS LISS III 2 Seasons FCC (1:50000) 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

Spatial Data Layers Prepared For All BlocksSpatial 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 DatabaseAssociated Database1991 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.

AN APPLICATION OF GRAM++ FOR RURAL DEVELOPMENT

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 (1:4,000) to assess the natural resource potential.

Location:

Methodology:

Assigning typical ID for each village. Ex.: M010101Converting house-hold survey schedules as database records

Parameters for house hold survey:1. Demographic Details 2. Income Generation3. House Hold Inventory 4. Expenditure Pattern 5. Marketing Ability 6. Medical Background 7. Social Linkages 8. Migration Attitude 9. Transportation Linkages 10. Technological Experience11. Unemployment Details

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

Methodology (Contd..)

Integration of Elements:

Estimation of aggregates for each village from house hold dataLinking of non-spatial data sets to spatial objectsCross validation of data sets from census data Creation of mosaic from village level maps to block level mapTransfer of village level aggregate features to block level map

Development of Indices

Three Types:

1. Human-Capital Index2. Socio-Economic Index3. Agro-ecological Index

The above indices are integrated to generate Resources Development Index Map

This is determined by estimation of :

1. Pressure on Working Class Index2. Rural Female Literacy Rate Index3. Sex Ratio Index

Human Capital Index

Agro-ecological Index

This is determined by :

1. Percentage of Crop area Index

2. Well Index

3. Total Agriculture Income Index

Agro-ecological Index

Socio Economic Index

Determined by the estimation of :1. Type of House Hold Index2. Electrified Household Index3. Kerosene Lighted Household Index4. Wood Fueled Household Index5. Kerosene Fueled Household Index6. Household Income Index7. Live Stock Index8. Road Index9. Tractors Index

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.