Evolution of Regional Economic Spatial Structure Based on IoT and GIS Service
Author(s) -
Jiang Lei
Publication year - 2021
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2021/6501865
Subject(s) - computer science , kriging , inverse distance weighting , geographic information system , data science , upgrade , visualization , spatial analysis , internet of things , weighting , service (business) , data mining , remote sensing , world wide web , geography , multivariate interpolation , medicine , economy , radiology , machine learning , computer vision , economics , bilinear interpolation , operating system
Unbalanced regional development is an inevitable trend in the development of all countries in the world. The rapid development of the Internet of Things (IoT) technology has created tools for the study of regional development issues. IoT has many advantages and thus owns a very wide range of applications. This paper makes use of geographic information system (GIS) technology, which can be viewed as one of the IoT sensing information. Changes in spatial regional economic differences and space and the evolution of the structure are particularly examined by processing spatial information such as maps, analyzing phenomena and events that exist on the earth, and exploiting Kriging and inverse distance weighting (IDW). The numerical results in this paper justify that the introduction of GIS technology to the study of economic diversity can upgrade regional economic research from a traditional qualitative and statistical level to a quantitative and spatial visualization level.
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