Katarzyna Kopczewska
Biographic Data
| ID | 5021474 |
|---|---|
| NAME | Katarzyna Kopczewska |
| GIVEN NAMES | Katarzyna |
| FAMILY NAME | Kopczewska |
| SIGNATURE | KOPCZEWSKA K |
| AFFILIATIONS | University of Warsaw |
| ORCID | 0000-0003-1065-1790 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A GIS Based Spatio-Temporal Analysis of Socioeconomic and Environmental Determinants of Child Malnutrition in Pakistan
Child malnutrition remains a critical global health challenge, yet most existing studies rely on static risk estimates and overlook the spatial–temporal nature of environmental exposures and localized socioeconomic disparities. To address this gap, we integrated Earth observation-derived environmental indicators, geolocated conflict events, socioeconomic variables, and child health outcomes, and applied a Fixed Effects Two-Stage Least Squares Spa…
The role of urban greening in limiting land take in case of population growth
Analysing local spatial density of human activity with quick density clustering (QDC) algorithm
This paper deals with the local spatial density of human activity. By understanding and quantifying the spatial distribution of interrelated phenomena such as business location and population settlement at the micro level, it is possible to track local under- and over- spatial representation in socio-economic development. The modelling of spatial density using point data is crucial for territorially targeted policies and business decisions. Weak …
Spatial and Machine Learning Approach to Model Childhood Stunting in Pakistan
This study presents the determinants of childhood stunting as the consequence of child malnutrition. We checked two groups of factors-the socio-economic situation and climate vulnerability-using disaggregated sub-regional data in the spatial context. Data related to the percentage of stunted children in Pakistan for 2017 were retrieved from MICS 2017-18 along with other features. We used three quantitative models: ordinary least squares regressio…
Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants
This paper fills the gap in rich housing literature by testing the spatio-temporal stability of real estate submarkets. We start with standard Geographically Weighted Regression (GWR) estimation of the hedonic model on point data, and we cluster model coefficients to detect housing submarkets. We check spatio-temporal stability - we add novelty by comparing if clusters move over space or stay in the same place. We rasterise surface and apply the …
Spag
The price for subway access
The relative location of commercial properties as the distance to the metro station as well as its absolute location as the address in the Central Business District (CBD) is expected to influence its valuation. We apply the advanced spatial econometric methodology, based on micro geo-located data, to the office rental transaction data from London in 2015. We use different spatial information on the local and global neighbourhood in order to estim…
Comment to XCL co‐agglomeration index
Spillover effects of taxes on government debt
It is claimed that tax policy is neither time- nor space-independent due to cross-border tax base mobility, which induces spillovers. Specifically, fiscal shocks in one country are supposed to have an impact on fiscal policies in other countries. Different types of taxes influence economies differently. This paper addresses the question of their impact on government debt. Within a framework of spatial econometric modeling, we evaluate the impact …
Spag
Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants
This paper fills the gap in rich housing literature by testing the spatio-temporal stability of real estate submarkets. We start with standard Geographically Weighted Regression (GWR) estimation of the hedonic model on point data, and we cluster model coefficients to detect housing submarkets. We check spatio-temporal stability - we add novelty by comparing if clusters move over space or stay in the same place. We rasterise surface and apply the …
The price for subway access
The relative location of commercial properties as the distance to the metro station as well as its absolute location as the address in the Central Business District (CBD) is expected to influence its valuation. We apply the advanced spatial econometric methodology, based on micro geo-located data, to the office rental transaction data from London in 2015. We use different spatial information on the local and global neighbourhood in order to estim…
Comment to XCL co‐agglomeration index
Spillover effects of taxes on government debt
It is claimed that tax policy is neither time- nor space-independent due to cross-border tax base mobility, which induces spillovers. Specifically, fiscal shocks in one country are supposed to have an impact on fiscal policies in other countries. Different types of taxes influence economies differently. This paper addresses the question of their impact on government debt. Within a framework of spatial econometric modeling, we evaluate the impact …
The price for subway access
The relative location of commercial properties as the distance to the metro station as well as its absolute location as the address in the Central Business District (CBD) is expected to influence its valuation. We apply the advanced spatial econometric methodology, based on micro geo-located data, to the office rental transaction data from London in 2015. We use different spatial information on the local and global neighbourhood in order to estim…
Spag
Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants
This paper fills the gap in rich housing literature by testing the spatio-temporal stability of real estate submarkets. We start with standard Geographically Weighted Regression (GWR) estimation of the hedonic model on point data, and we cluster model coefficients to detect housing submarkets. We check spatio-temporal stability - we add novelty by comparing if clusters move over space or stay in the same place. We rasterise surface and apply the …
Spatial and Machine Learning Approach to Model Childhood Stunting in Pakistan
This study presents the determinants of childhood stunting as the consequence of child malnutrition. We checked two groups of factors-the socio-economic situation and climate vulnerability-using disaggregated sub-regional data in the spatial context. Data related to the percentage of stunted children in Pakistan for 2017 were retrieved from MICS 2017-18 along with other features. We used three quantitative models: ordinary least squares regressio…
The role of urban greening in limiting land take in case of population growth
Analysing local spatial density of human activity with quick density clustering (QDC) algorithm
This paper deals with the local spatial density of human activity. By understanding and quantifying the spatial distribution of interrelated phenomena such as business location and population settlement at the micro level, it is possible to track local under- and over- spatial representation in socio-economic development. The modelling of spatial density using point data is crucial for territorially targeted policies and business decisions. Weak …
A GIS Based Spatio-Temporal Analysis of Socioeconomic and Environmental Determinants of Child Malnutrition in Pakistan
Child malnutrition remains a critical global health challenge, yet most existing studies rely on static risk estimates and overlook the spatial–temporal nature of environmental exposures and localized socioeconomic disparities. To address this gap, we integrated Earth observation-derived environmental indicators, geolocated conflict events, socioeconomic variables, and child health outcomes, and applied a Fixed Effects Two-Stage Least Squares Spa…
Computer Science (6 works) · Econometrics (6 works) · Economics (6 works) · Geography (6 works) · Spatial and Panel Data Analysis (5 works) · Mathematics (4 works) · Statistics (4 works) · Housing Market and Economics (3 works) · Artificial Intelligence (2 works) · Cartography (2 works)