The objective of this paper is to analyze the link between geographic location and level human development in Cameroon. To achieve that objective, we use Exploratory Spatial Data Analysis (ESDA) techniques on regional indices (HDI) Cameroon from 2001 2014. Moran test confirms presence a positive significant global spatial autocorrelation indices. Thus, values index are not randomly distributed....

Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are follows: (1) based on “production, living ecology” land functions framework use data, is divided into seven types spaces reveal their heteroge...

Knowledge and innovation have become a significant source of modern regional development. The paper aims to study the spatial association model innovation, besides critiquing policy, using knowledge production function approach. At level Egyptian governorates, number patent applications has been used as proxy for innovation. uses cross-sectional data patents in 2018 with lagged time variables i...

Abstract This article analyzes spatial autocorrelations and the formation of clusters exports, based on research development (R&D) intensity in Portugal. The central idea is that exports show relative interdependence spillover effects among nearby regions a direct relationship with R&D expenditures. It adopts new taxonomy OECD, separating by manufacturing non-manufacturing activities te...

The aim of this study is to determine the natural and anthropogenic factors affecting air quality index (AQI) create a model that shows effects these on AQI values in cities Turkey. Natural factors, which are thought have an effect AQI, were determined interpreted with kriging maps. examined by explanatory spatial data analysis (ESDA). Global Moran’s I local (LISA) indices for presence relation...

Statistical and grammatical techniques are reviewed as an integrated approach to exploratory sequential data analysis (ESDA) for categorical data. The first step is the identification and validation of the categories to be analyzed. The main statistical techniques discussed are log-linear modeling and lag sequential analysis. These methods allow for the statistical evaluation of a wide range of...

The digital economy has become a new form of the economy. Based on data from China Year Book 2012 to 2020, this paper characterizes China’s spatial differences in regional consumption expenditure context We utilize GIS analysis technique, ESDA, Geodetector, and other econometric tools reveal spatiotemporal evolution patterns driving mechanism residents’ development for 31 provinces propose diff...