Demographic Data Assessment using Novel 3DCCOM Spatial Hierarchical Clustering: A Case Study of Sonipat Block, Haryana Mamta Malik 1 Research Scholar, CSE. DCRUST Sonepat, India malik.mamta@gmail.com Dr. Parvinder Singh 2 Associate Prof., CSE, DCRUST Sonepat, India parvinder@rediffmail.com Dr. A. K. Sharma 3 Professor & Dean, CSE, YMCA University of Science & Technology Faridabad, India Ashokkale2@rediffmail.com Abstract— Cluster detection is a tool employed by GIS scientists who specialize in the field of spatial analysis. This study employed a combination of GIS, RS and a novel 3DCCOM spatial data clustering algorithm to assess the rural demographic development strategies of Sonepat block, Haryana, India. This Study is undertaken in the rural and rural-based district in India to demonstrate the integration of village-level spatial and non-spatial data in GIS environment using Hierarchical Clustering. Spatial clusters of living standard parameters, including family members, male and female population, sex ratio, total male and female education ratio etc. The paper also envisages future development and usefulness of this community GIS, Spatial data clustering tool for grass-root level planning. Any data that shows geographic (spatial) variability can be subject to cluster analysis. Keywords- 3DCCOM( Three Dimensional Clustering with Constraints and Obstacle Modeling), Demographic Data; Geographical Information System (GIS); Hierarchical Clustering; Remote Sensing(RS) I. INTRODUCTION Rural development aims at improving the quality of life of rural people by utilizing natural and cultural resources available in rural areas, under the premises of existing legislature, in a sustainable manner through people participation. All the rural development [16], [17] programmes and schemes are still based on sectoral approach. But for a comprehensive rural development a comprehensive spatial development approach is required. For any successful rural development plan the interrelationship of farmland and population area must be understood carefully. So the study approach will be based on spatial totality (space, people and their activities) of rural areas in an integrated manner not in isolation of each other using hierarchical clustering technique[7], [11], [13]. The study will focus on the spatial database mining techniques to make utilisation of natural and cultural resources of rural areas in a sustainable manner with people’s participation. The District Sonipat comes in to existence on December 22, 1972. It was a part of Rohtak district till December 21, 1972. The geographical location of Sonipat district is from 28° 48' to 29° 17' N, and 76° 28' to 77° 15' E. Sonipat district is one of the developed district of Haryana state as shown in figure1 and its economy mainly dependent upon agriculture. 74.87% of total population lives in rural areas and its main occupation is agriculture. In terms of agricultural production Sonipat district has surplus production but there is a lack of proper management of this surplus. The standard paper components have been specified for two reasons: (1) Generating a spatial database [9], [14] of Sonepat Block for demographic assessment. (2) Use Hierarchical clustering technique [7] over spatial database to discovering knowledge [5], [9] that can be used for planning and sustainable development at grass root level. Mamta Malik et al. / International Journal on Computer Science and Engineering (IJCSE) ISSN : 0975-3397 Vol. 3 No. 9 september 2011 3139