Spatial Methods & Tools

specification search
Luc Anselin, Renan Serenini, and Pedro Amaral. (2024). Spatial Econometric Model Specification Search: Another Look. Preprint. DOI: 10.13140/RG.2.2.10650.86721.
Research
Anselin, L., Li, X., & Koschinsky, J. (2022). GeoDa, from the desktop to an ecosystem for exploring spatial data. Geographical Analysis (GA), 54(3), 439-466. Most downloaded GA paper in 2021.
pysal
Rey, S. J., Anselin, L., Amaral, P., Arribas‐Bel, D., Cortes, R. X., Gaboardi, J. D., ... & Wolf, L. J. (2022). The PySAL ecosystem: Philosophy and implementation. Geographical Analysis, 54(3), 467-487.
Research
Anselin, L., & Amaral, P. (2023). Endogenous spatial regimes. Journal of Geographical Systems, 1-26.
Research
Anselin, L. (2019). A local indicator of multivariate spatial association: extending Geary's C. Geographical Analysis, 51(2), 133-150.
Research
Anselin, L. and X. Li. “Tobler’s Law in a Multivariate World.” Geographical Analysis 52 (4), 2020: 494-510 (DOI:10.1111/GEAN.12237, April 2020).
Research
Anselin, L. “Quantile Local Spatial Autocorrelation.” Letters in Spatial and Resource Science 12 (2), 2019: 155-166 (DOI: 10.1007/s12076-019-00234-0, July 2019).
Research
Anselin, L. and X. Li. “Operational Local Join Count Statistics for Cluster Detection.” Journal of Geographical Systems 21 (2), 2019: 189-210 (DOI: 10.1007/s10109-019-00300-7, April 2019).
Research
Saxon, J., Koschinsky, J., Acosta, K., Anguiano, V., Anselin, L., & Rey, S. (2021). An open software environment to make spatial access metrics more accessible. Journal of Computational Social Science, 1-20. See also the PySAL access package: https://pysal.org/access/
Research
Lin, Y., Xu, C., & Wang, J. (2023). sandwichr: Spatial prediction in R based on spatial stratified heterogeneity. Transactions in GIS, 27(5), 1579–1598.
Research
Lin, Y., Li, J., Porr, A., Logan, G., Xiao, N. & Miller, H. (2023). Creating building-level, three-dimensional digital models of historic urban neighborhoods from Sanborn Fire Insurance maps using machine learning. PLoS ONE, 18(6), e0286340.
Research
Dodge, S., Toka, M., & Bae, C. J. (2021). DynamoVis 1.0: an exploratory data visualization software for mapping movement in relation to internal and external factors. Movement Ecology, 9:55: 218–240.
Research
Lin, Y. & Xiao, N. (2022). Identifying high accuracy regions in traffic camera images to enhance the estimation of road traffic metrics: A quadtree-based method. Transportation Research Record, 2676(12), 522–534.
Research
Kolak, M. and L. Anselin. “A Spatial Perspective on the Econometrics of Program Evaluation.” International Regional Science Review 43 (1-2), 2020: 128-153.
Research
Pereira, R. H., Braga, C. K. V., Servo, L. M., Serra, B., Amaral, P., Gouveia, N., & Paez, A. (2021). Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach. Social Science & Medicine, 273, 113773.
Research
Medeiros, V., Ribeiro, R. S. M., & do Amaral, P. V. M. (2021). Infrastructure and household poverty in Brazil: A regional approach using multilevel models. World Development, 137, 105118.
Research
Algeri, C., L. Anselin, A. Fabio Forgione, C. Migliardo. “Spatial Dependence in the Technical Efficiency of Local Banks.” Papers in Regional Science 101 (3), 2022: 685-716 (DOI:10.1111/pirs.12669)