Arc_Mat

Arc_Mat: a Matlab-based spatial data analysis toolbox. This article presents an overview of Arc_Mat, a Matlab-based spatial data analysis software package whose source code has been placed in the public domain. An earlier version of the Arc_Mat toolbox was developed to extract map polygon and database information from ESRI shapefiles and provide high quality mapping in the Matlab software environment. We discuss revisions to the toolbox that: utilize enhanced computing and graphing capabilities of more recent versions of Matlab, restructure the toolbox with object-oriented programming features, and provide more comprehensive functions for spatial data analysis. The Arc_Mat toolbox functionality includes basic choropleth mapping; exploratory spatial data analysis that provides exploratory views of spatial data through various graphs, for example, histogram, Moran scatterplot, three-dimensional scatterplot, density distribution plot, and parallel coordinate plots; and more formal spatial data modeling that draws on the extensive Spatial Econometrics Toolbox functions. A brief review of the design aspects of the revised Arc_Mat is described, and we provide some illustrative examples that highlight representative uses of the toolbox. Finally, we discuss programming with and customizing the Arc_Mat toolbox functionalities.


References in zbMATH (referenced in 134 articles , 1 standard article )

Showing results 1 to 20 of 134.
Sorted by year (citations)

1 2 3 ... 5 6 7 next

  1. Chen, Zhiyong; Chen, Jianbao: Bayesian analysis of partially linear, single-index, spatial autoregressive models (2022)
  2. Deng, Mingyu; Wang, Mingxi: Artificial regression test diagnostics for impact measures in spatial models (2022)
  3. Furková, Andrea: Implementation of MGWR-SAR models for investigating a local particularity of European regional innovation processes (2022)
  4. Hille, Erik; Lambernd, Bernhard: Has Korean growth become greener? Spatial econometric evidence for energy use and renewable energy (2022)
  5. Li, Tizheng; Kang, Xiaojuan: Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters (2022)
  6. Bivand, Roger S.; Gómez-Rubio, Virgilio: Spatial survival modelling of business re-opening after Katrina: survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months (2021)
  7. Bürkner, Paul-Christian; Gabry, Jonah; Vehtari, Aki: Efficient leave-one-out cross-validation for Bayesian non-factorized normal and student-(t) models (2021)
  8. Dai, Xiaowen; Li, Erqian; Tian, Maozai: Quantile regression for varying coefficient spatial error models (2021)
  9. Desbordes, Rodolphe: Spatial dynamics of major infectious diseases outbreaks: a global empirical assessment (2021)
  10. Furková, Andrea; Chocholatá, Michaela: Spatial econometric approach to the EU regional employment process (2021)
  11. Han, Xiaoyi; Lee, Lung-Fei; Xu, Xingbai: Large sample properties of Bayesian estimation of spatial econometric models (2021)
  12. Huang, Danyang; Zhu, Xuening; Li, Runze; Wang, Hansheng: Feature screening for network autoregression model (2021)
  13. Huang, Tingting; Saporta, Gilbert; Wang, Huiwen; Wang, Shanshan: A robust spatial autoregressive scalar-on-function regression with (t)-distribution (2021)
  14. Hu, Wei; Huang, Danyang; Jing, Bingyi; Zhang, Bo: Crawling subsampling for multivariate spatial autoregression model in large-scale networks (2021)
  15. Liu, Gaosheng; Bai, Yang: Statistical inference in functional semiparametric spatial autoregressive model (2021)
  16. Młodak, Andrzej: (k)-means, Ward and probabilistic distance-based clustering methods with contiguity constraint (2021)
  17. Qu, Xi; Lee, Lung-fei; Yang, Chao: Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables (2021)
  18. Santi, Flavio; Dickson, Maria Michela; Giuliani, Diego; Arbia, Giuseppe; Espa, Giuseppe: Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data (2021)
  19. Wang, Huiwen; Huang, Tingting; Wang, Shanshan: A flexible spatial autoregressive modelling framework for mixed covariates of multiple data types (2021)
  20. Yang, Cynthia Fan: Common factors and spatial dependence: an application to US house prices (2021)

1 2 3 ... 5 6 7 next