Spatial Warsaw Team

We are a diverse group of researchers with a clear mission to popularise spatial data analysis. We believe that enriching the studies with spatial features can bring out the links and relations otherwise hidden in a-spatial datasets. We are based at the Faculty of Economic Sciences, University of Warsaw, Poland.

Our team:

Prof. Katarzyna Kopczewska
Main interests: methodology of applied spatial quantitative methods, R programming, business location, housing valuation, agglomeration, concentration, density, regional development. Editor in Regional Science Policy & Practice, member of EOC in European Regional Science Association (ERSA) and Spatial Econometrics Association (SEA).
ORCID Google Scholar Publons

Mateusz Kopyt, PhD
Main interests: spatial analysis in economics (spatial methods), finance, local government finances, intellectual property protection, economic education and teaching of economics, computer software in economics. Member of European Regional Science Association Polish Section (ERSA Polska), Eurasia Business and Economics Society (EBES) and OpenStreetMap Polska.
ORCID Google Scholar Publons

Kateryna Zabarina, PhD candidate
Main interests: R programming, point pattern analysis, business location, agglomeration, spatial modelling, time series analysis. Member of European Regional Science Association (ERSA), awarded Jean Paelinck Prize for Young Researchers in 2018.
ORCID Google Scholar Publons

Maria Kubara, PhD candidate
Main interests: R programming, spatial modelling, data science, machine learning, spatial visualisation and analysis, business location, innovations, cluster analysis. Member of European Regional Science Association (ERSA), awarded with the scholarship for the best young researchers given by the Ministry of Science and Higher Education, Poland in 2019.
ORCID Google Scholar

Our latest works:

ed. Kopczewska K. (authors: Kopczewska K., Kubara M., Ćwiakowski P., Kopyt M., Wójcik P., Festi A., Zabarina K.), 2020, Applied Spatial Statistics and Econometrics: Data Analysis in R, Oxfordshire: Routledge
Get the book. Get the codes.

Kopczewska K., Churski P., Ochojski A., Polko A., 2017, Measuring Regional Specialization – A New Approach, Palgrave Macmillan/Springer Nature, 2017
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Strzelecki P., Świerczewska A., Kopczewska K., Fheed A., Tarasiuk J., Wroński S., 2021, Decoding Rocks: An Assessment of Geomaterial Microstructure Using X-ray Microtomography, Image Analysis and Multivariate Statistics, Materials 2021, 14(12),,

Kopczewska K., Ćwiakowski P., 2021, Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of GWR estimates of price determinants, Land Use Policy, vol.103 April 2021, 105292

Kopczewska K., 2021 (forthcoming) Entropy as a measure of agglomeration [In] Handbook on „Entropy, Complexity, and Spatial Dynamics: The Rebirth of Theory?”, Edward Elgar (editors: Aura Reggiani, Laurie Schintler, Danny Czamanski, Roberto Patuelli), codes available at

Kopczewska K., Churski P., Ochojski A., Polko A., (2019) SPAG – Index of spatial agglomeration, Papers in Regional Science,, codes available at

Kopczewska K., (2018) Cluster-based measures of regional concentration. Critical overview, Spatial Statistics vol.27, October 2018, pp.31-57,, codes available at

Kopczewska K., 2019, Assessment of public intervention efficiency: The case of Special Economic Zones, Central European Economic Journal, Volume 6: Issue 53, DOI:

Kopczewska K., Lewandowska A., (2018) The price for subway access: Spatial econometric modelling of office rental rates in London, Urban Geography, vol. 39, 2018, issue 10, pp.1528-1554,

Kopczewska K., (2016) Efficiency of Regional Public Investment: NPV-based spatial Econometric Approach, Spatial Economic Analysis, vol.11 2016 issue 4, pp. 413-431

Kopczewska K., (2016) Comment to XCL co-agglomeration index:  distance-weighted improved DCL index, Papers in Regional Science, Vol 95, Issue 4, pp. 903-910, doi:10.1111/pirs.12247

Kopczewska K., Kudła J., Walczyk K., Kruszewski R., Kocia A., (2016) Spillover effects of taxes on government debt: A spatial panel approach, Policy Studies Volume: 37, Issue: 03, pages 274 – 293,

Kopczewska K., Kudła J., Walczyk K., (2015) Strategy of spatial panel estimation: Spatial spillovers between taxation and economic growth, Applied Spatial Analysis and Policy (2017) 10:77, DOI 10.1007/s12061-015-9170-2,

Kopczewska K., (2014) Skewness, Kurtosis and L-moments in measuring regional convergence and cohesion, Statistica Neerlandica vol. 68, nr 4, pp.251-266, DOI: 10.1111/stan.12031

Kopczewska K., Kopyt M., (2014) Non-linear corrections in market patent valuation, Business and Economic Horizons, vol.10 issue 3, pp.177-190, DOI: 10.15208/beh.2014.9

Chrostek K., Kopczewska K. (2014) Spatial Prediction Models for Real Estate Market Analysis, Ekonomia 35, pp.25-43

Kopczewska K., (2013) The spatial range of local governments: does geographical distance affect governance and public service?, Annals of Regional Science, Volume 51, Issue 3 (2013), pp. 793-810, DOI: 10.1007/s00168-013-0567-z

Kopańska A., Kopyt M. (2018) Determinants of indebtedness of Polish municipalities and cities with the rights of counties. Analysis for 2006-2016, Municipal Finance 1/2018, pp. 5-22,

Zabarina, K. (2018) Tessellation as an alternative aggregation method, Quantitative Methods in Economics, Volume XIX, No. 1, pp. 78-91, access:   


Kopczewska Katarzyna, 2017-2019, Spatial econometric models with fixed and changing structure of neighbourhood. Applications to real estate valuation and business location, grant from National Science Center Poland (Krakow), grant number: OPUS 12 call [UMO-2016/23/B/HS4/02363]

Kopczewska Katarzyna, 2014-2016, Statistical models to indentify regional specialisation including spatial heterogenity component, grant from National Science Center Poland (Krakow), grant number: OPUS 6 call [UMO-2013/11/B/HS4/01098]

Zabarina Kateryna, 2021-2023, Application of hybrid Gibbs processes to firm location forecast, grant from National Science Center Poland (Krakow), grant number: PRELUDIUM [UMO-2020/37/N/HS4/02061]

Kubara Maria, 2020-2024, Survival determinants of technological startups – spatial factors and interactions, grant from Ministry of Science and Higher Education, Poland, grant number: 0022/DIA/2020/49