Computing in Geographic Information Systems

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data.

Computing in Geographic Information Systems

The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon.

• Examines cartographic modeling and map

Dr. Narayan Panigrahi is a practicing geo-spatial scientist in the Centre for Artificial Intelligence and Robotics (CAIR), Bangalore, India. He obtained his master's degree from the J.K. Institute of Applied Physics and Technology, University of Allahabad, his M Tech from the Indian Institute of Technology (IIT), Kharagpur, and his PhD from IIT, Bombay, India. His current research interests include geographical information science, design and optimization of algorithms for computation of spatial data in vector and raster form obtained through different sensors, and application of GIS for resource mapping and operation planning.