Abstract

There is a growing need for web-based geographic information systems for easy and fast dissemination, sharing, displaying and processing of spatial information. The tremendous growth in the use of web and open-source geospatial resources has sparked development of web-based spatial applications to address multidisciplinary issues with spatial dimensions. This paper presents the integration of open-source geospatial tools and web technology to visualize and interact with spatial data using web browser. The goal of this paper is to implement a prototype system for web-based mapping by providing step-by-step instructions in order to encourage the eager developers and interested readers to publish their maps on the web with no prior technical experience in map servers. The implementation of mapping prototype shows the utilization of open-source geospatial tools which results in a rapid implementation with minimal or no software input cost.

Highlights

  • The geographic information systems (GIS) were initially adopted by users in the government sectors, but are rapidly growing and have profound implications in a large number of application domains including planning [1], marketing [2], retail [3], transportation [4], traffic [5], tourism [6], natural resources [7], real estate [8], agriculture [9] and healthcare [10]

  • For the developing countries like India, cost is the primary consideration for the adaptability of spatial technology

  • This paper provides a foundation in web-based mapping using open-source geospatial tools and web technology

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Summary

Introduction

The geographic information systems (GIS) were initially adopted by users in the government sectors, but are rapidly growing and have profound implications in a large number of application domains including planning [1], marketing [2], retail [3], transportation [4], traffic [5], tourism [6], natural resources [7], real estate [8], agriculture [9] and healthcare [10]. The geo-spatial information includes maps or locations of landmarks, but multiple attribute data, socioeconomic data, aerial photographs, satellite images, etc., which may have static or dynamic characteristics [13]

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