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Teoretyczne aspekty modelowania przestrzennego w badaniach regionalnych

100%
Kossowski T.
Rozwój Regionalny i Polityka Regionalna
|
2010
|
issue 12
9-26
EN
Spatial modeling is currently one of the primary research tools used in regional analysis. Spatial models are an extension of traditional econometric models, which are included in the so called spatial effects: spatial dependence and spatial heterogeneity. The article presents the theoretical basis of spatial modelling, together with definitions of basic concepts and an analysis of their properties. Methods for estimating spatial models and diagnostics are presented. The study also indicates the complexity of spatial modeling, and the usefulness of this kind research approach. In this paper an outline the development trends of spatial modeling is delivered.
PL
Modelowanie przestrzenne jest obecnie jednym z podstawowych narzędzi badawczych wykorzystywanych w analizie regionalnej. Modele przestrzenne są rozszerzeniem klasycznych modeli ekonometrycznych, do których włączane są tak zwane efekty przestrzenne: przestrzenna zależność i przestrzenna heterogeniczność. Artykuł prezentuje podstawy teoretyczne modelowania przestrzennego wraz z definicjami podstawowych pojęć oraz analizą ich własności. Przedstawione są również metody estymacji i diagnostyki modeli przestrzennych. W pracy wskazuje się też z jednej strony na złożoność modelowania przestrzennego, a z drugiej strony na użyteczność takiego podejścia badawczego. Zarysowane zostały także trendy rozwojowe modelowania przestrzennego.
2
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SPAG: A NEW MEASURE OF SPATIAL AGGLOMERATION. THEORETICAL BACKGROUND AND EMPIRICAL EXAMPLES

63%
Kossowski T., Hauke J.
Quaestiones Geographicae
|
2018
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vol. 37
|
issue 4
33-42
EN
Kopczewska (2017) proposed a new empirical measure of spatial agglomeration (SPAG) of economic activity based on geolocations of firms. The aim of the paper is to introduce theoretical backgrounds of SPAG. The measure is a product of two random variables with beta and gamma distributions. The moments of the product are described and estimated for Poland with spatial centroids of LAU2 treated as geolocations of firms for empirical distribution as well as for the set of firms located in a regular region. Another approach to SPAG properties has its origin in a geometric probability concept. We present the research results on geometric probability, applied to SPAG, as distance probability distributions for a regular region.
3
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Identyfikacja typów rolnictwa Polski z uwzględnieniem zależności przestrzennych

51%
Głębocki B., Kacprzak E., Kossowski T.
Studia komitetu przestrzennego zagospodarowania kraju PAN
|
2018
|
vol. 183
315-331
4
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The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development

51%
Pietrzak M. B., Wilk J., Bivand R. S., Kossowski T.
Comparative Economic Research. Central and Eastern Europe
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2014
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vol. 17
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issue 4
203-220
EN
The paper makes an attempt to apply local indicators for categorical data (LICD) in the spatial analysis of economic development. The first part discusses the tests which examine spatial autocorrelation for categorical data. The second part presents a two-stage empirical study covering 66 Polish NUTS 3 regions. Firstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency to form the spatial clusters. The global test indicates general spatial interactions between regions, while local tests give detailed results separately for each region. The global test detects spatial clustering of economically poor regions but is statistically insignificant as regards well-developed regions. Thus, the local tests are also applied. They indicate the occurrence of five spatial clusters and three outliers in Poland. There are three clusters of wealth. Their development is based on a diffusion impact of regional economic centres. The areas of eastern and north western Poland include clusters of poverty. The first one is impeded by the presense of three indiviual growth centres, while the second one is out of range of diffusion influence of bigger agglomerations.
5
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MULTICRITERION TYPOLOGY OF AGRICULTURE: A SPATIAL DEPENDENCE APPROACH

51%
Głębocki B., Kacprzak E., Kossowski T.
Quaestiones Geographicae
|
2019
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vol. 38
|
issue 2
29-49
EN
At the turn of the 21st century Polish agriculture intensively changed as the consequence of: 1) the socio-economic transformation that started in 1989, 2) the general transition from a centrally-planned economy to a market economy and 3) Poland’s accession in 2004 to the European Union. In this paper, we try to describe, in a synthetic way, the spatial heterogeneity of development of agriculture in Poland. For this purpose we identified the types of contemporary Polish agriculture. We applied the measures of global (Moran 1950) and local (LISA) spatial autocorrelation devised by L. Anselin (1995) and used their calculations in classification methods. Our dataset consists of 69 variables and 3,069 spatial units at the LAU2 level. As the result of the analysis we identified 20 types of agriculture in Poland and presented their characteristic features. We have paid particular attention to a spatial distribution of identified types. We concluded that the distribution is not only a result of natural or socio-economic conditions and local spatial relationships, but also to a greater extent is still affected by historical conditions (mainly partitions and changes of borders after the First and Second World Wars).
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