Data Streams Management In The Real-time Data Warehouse Functioning Of The Data Streams Processor

Authors

  • smmayo City and Regional Planning Department, University of Engineering and Technology, Lahore Pakistan

DOI:

https://doi.org/10.57041/pjs.v63i1.69

Keywords:

Industrial Location, Urbanization, Balanced Industrial Development, Disaster Risk Management

Abstract

The paper focuses on the contemporary industrial location theories and examines their applicability in the Province of Punjab, Pakistan. The paper explores the spatial bond within industry, urbanization and disaster risks—germinating from the insertion of economics, geography, planning, ecology, and security concerns into the industrial location theory. The paper correlates the
industrial concentration pattern with that of urbanization patterns and the prevailing disaster risks in the province. The study makes use of Centrality Functional Index (CFI) and Rank Mobility Index (RMI) along with spatial visualization techniques using GIS—making use of isolines/density buffers and choropleth maps. The study explores a high degree of correlation within industrial locations and the agglomeration of urbanization, investments, and disaster risks. The study suggests a planned distribution of industry for a balanced and disaster sensitive urbanization policy and socioeconomic development in the province.

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Published

2011-03-01

How to Cite

smmayo. (2011). Data Streams Management In The Real-time Data Warehouse Functioning Of The Data Streams Processor. Pakistan Journal of Science, 63(1). https://doi.org/10.57041/pjs.v63i1.69