Spatiotemporal methods for analysis of urban system dynamics: an application to Chile

Vallone, Andrés; Chasco, Coro

doi:10.1007/s00168-019-00960-9

Cited by 6 publications

(6 citation statements)

References 51 publications

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“…Compared with the traditional methods mentioned above, Kernel density estimation, Dagum Gini coefficient and Markov chain can effectively deal with the problem of cross-overlap between samples [43]. It also reflects the dynamic evolution of the research object [44][45][46]. The reliability of this method has been demonstrated by numerous researchers in recent years [41,47,48].…”

Section: Introductionmentioning

confidence: 99%

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

Wu,

Zheng,

Chen

et al. 2024

PLoS ONE

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The high-quality development of service industry has become an important engine for promoting sustainable economic development. This paper first constructed the evaluation index system of high-quality development of service industry, based on panel data from 2005 to 2020. Second, Kernel density, Markov chain and Dagum Gini coefficient were used to represent the regional differences and dynamic evolution of service industry, and the Koo method was used to explore the characteristics of spatial agglomeration. Finally, social network analysis was used to identify core indicators. The study found that: (1) From 2005 to 2020, the overall level of service industry first decreases and then increases, with Chengdu and Chongqing leading other cities. (2) The development of service industry in the CCEC has large spatial differences, mainly due to inter-regional differences. (3) The level of spatial agglomeration is less variable, with high agglomeration mainly in Chengdu. (4) Indicators such as the level of human capital are the core factors of its high-quality development. This study is of great theoretical and practical significance for the optimization and upgrading of service industry in the CCEC and the synergetic development of the region.

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Section: Introductionmentioning

confidence: 99%

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

Wu,

Zheng,

Chen

et al. 2024

PLoS ONE

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“…In this study, we add to the literature in Indonesia by examining the role of spatial dependence in regional inflation distribution dynamics across 8 years, utilizing a new exploratory technique in spatial analysis, exploratory space–time data analysis (ESTDA) (Rey et al, 2011; Vallone & Chasco, 2020). Our contribution is twofold.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of regional inflation in an emerging country: The case of Indonesia

Aginta

2022

Regional Science Policy & Practice

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“…To illustrate the definition of the W matrices based on distances, a point map containing the centroids of the main Chilean cities, used in Vallone and Chasco [11] will be used. The R code required for the construction of k-nearest neighbour matrices is presented in Table 5.…”

Section: Spatial Weights Matrices Based On Distancesmentioning

confidence: 99%

Introduction to Cross-Section Spatial Econometric Models with Applications in R

Chasco,

Vallone

2023

Preprint

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This paper introduces the spatial component in cross-section econometric estimations and specifically, the spatial dependence effect inherent in some of the variables involved in the modelling process. First, the spatial structure of the data from thematic maps is observed and Moran's spatial autocorrelation indicators are presented. Subsequently, the spatial weights matrix is built under different specifications. Finally, several modelling specification strategies are shown and the interpretation of the estimated coefficients. The theoretical concepts are illustrated with examples and their corresponding R software codes. This code and databases are available in a freely accessible repository in the BE2SHARE-EUDAT platform so that they can be easily reproduced.

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Spatiotemporal methods for analysis of urban system dynamics: an application to Chile

Cited by 6 publications

References 51 publications

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

Spatiotemporal analysis of regional inflation in an emerging country: The case of Indonesia

Introduction to Cross-Section Spatial Econometric Models with Applications in R

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