TY - JOUR AU - Li, Zhigang AU - Yu, Le AU - Gao, Feifan AU - Cheng, Hanbei AU - Liu, Yuqi TI - Integration Failure or Integration risk? Revisiting the Modality of Return Migration in China JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 18 PY - 2025 SP - Articlein press PG - 31 SN - 1874-463X DO - 10.1007/s12061-024-09618-2 UR - https://m2.mtmt.hu/api/publication/35625161 ID - 35625161 LA - English DB - MTMT ER - TY - JOUR AU - Pregi, L. AU - Novotný, L. TI - Spatial Autocorrelation Methods in Identifying Migration Patterns: Case Study of Slovakia JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 18 PY - 2025 IS - 1 SN - 1874-463X DO - 10.1007/s12061-024-09615-5 UR - https://m2.mtmt.hu/api/publication/35614717 ID - 35614717 N1 - Export Date: 30 November 2024 Correspondence Address: Pregi, L.; Institute of Geography, Jesenná 5, Slovakia; email: lorant.pregi@upjs.sk LA - English DB - MTMT ER - TY - JOUR AU - Egri, Zoltan AU - Lengyel, Imre TI - Convergence and Catch-Up of the Region Types in the Central and Eastern European Countries (NOV, 10.1007/s12061-023-09551-w, 2023) JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL PY - 2024 PG - 1 SN - 1874-463X DO - 10.1007/s12061-024-09579-6 UR - https://m2.mtmt.hu/api/publication/35023944 ID - 35023944 LA - English DB - MTMT ER - TY - JOUR AU - Hobbs, M. AU - Puente-Sierra, M. AU - Marek, L. AU - Broadbent, J. M. AU - Chambers, T. TI - Examining the Structural Inequities in the Quality of Nationwide Drinking Water Data in Aotearoa New Zealand: A Geospatial Cross-Sectional Study JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL PY - 2024 PG - 12 SN - 1874-463X DO - 10.1007/s12061-024-09571-0 UR - https://m2.mtmt.hu/api/publication/35020779 ID - 35020779 LA - English DB - MTMT ER - TY - JOUR AU - Gui, Qinchang AU - Du, Debin AU - Liu, Chengliang TI - The Changing Geography of Scientific Knowledge Production. Evidence from the Metropolitan area Level TS - Evidence from the Metropolitan area Level JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 17 PY - 2024 SP - 157 EP - 174 PG - 18 SN - 1874-463X DO - 10.1007/s12061-023-09525-y UR - https://m2.mtmt.hu/api/publication/34342683 ID - 34342683 AB - The metropolitan areas act as incubators of new knowledge, and play a central role in the process of scientific knowledge production. On the basis of highly cited papers data, this paper adopts spatial scientometrics and social network analysis to investigate the geography, position and link of science cities between 2007 and 2017. The results are demonstrated below: (1) The two seemingly paradoxical trends, the regional concentration and global spread, coexist in the process of knowledge production, which are rapidly reshaping the global pattern of science. (2) The whole knowledge collaboration network has been dominated by the Global North cities, while the rise of the Global South cities has an increasing influence in the network, both driving the evolution of the world order. (3) The number of scientific collaborations between cities has increased dramatically, while domestic collaborations have higher strength than international collaborations. Finally, we discuss the limitations of this study and set out three directions in the future research agenda of knowledge production. LA - English DB - MTMT ER - TY - JOUR AU - Afyouni, Imad AU - Hashim, Ibrahim AU - Aghbari, Zaher AU - Elsaka, Tarek AU - Almahmoud, Mothanna AU - Abualigah, Laith TI - Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 17 PY - 2024 IS - 3 SP - 1359 EP - 1411 PG - 53 SN - 1874-463X DO - 10.1007/s12061-024-09588-5 UR - https://m2.mtmt.hu/api/publication/35351232 ID - 35351232 LA - English DB - MTMT ER - TY - JOUR AU - Soltani, Ali AU - Mansourihanis, Omid AU - RoohaniQadikolaei, Mohsen AU - Zaroujtaghi, Ayda TI - Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 17 PY - 2024 IS - 3 SP - 1301 EP - 1334 PG - 34 SN - 1874-463X DO - 10.1007/s12061-024-09587-6 UR - https://m2.mtmt.hu/api/publication/35315527 ID - 35315527 LA - English DB - MTMT ER - TY - JOUR AU - Afyouni, Imad AU - Hashim, Ibrahim AU - Aghbari, Zaher AU - Elsaka, Tarek AU - Almahmoud, Mothanna AU - Abualigah, Laith TI - Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 17 PY - 2024 IS - 2 SP - 1 EP - 53 PG - 53 SN - 1874-463X DO - 10.1007/s12061-024-09588-5 UR - https://m2.mtmt.hu/api/publication/35073410 ID - 35073410 LA - English DB - MTMT ER - TY - JOUR AU - Egri, Zoltán AU - Lengyel, Imre TI - Convergence and Catch-Up of the Region Types in the Central and Eastern European Countries JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 17 PY - 2024 IS - 2 SP - 393 EP - 415 PG - 23 SN - 1874-463X DO - 10.1007/s12061-023-09551-w UR - https://m2.mtmt.hu/api/publication/34426590 ID - 34426590 N1 - Export Date: 8 December 2023 Correspondence Address: Egri, Z.; Institute of Rural Development and Sustainable Economy, Hungary; email: egri.zoltan@uni-mate.hu Correspondence Address: Lengyel, I.; Faculty of Economics and Business Administration, Hungary; email: ilengyel@eco.u-szeged.hu AB - Our study investigates the economic growth and catch-up of the NUTS3 regions of 6 Central and Eastern European (CEE) member states of the European Union (EU), 4 countries acceding in 2004 (Czechia, Poland, Hungary, and Slovakia) and further two admitted in 2007 (Bulgaria and Romania), compared to the average of 14 older members of the EU between 2000 and 2019. We based our analysis on the urban–rural region types of the EU in the case of 185 regions, identifying predominantly urban, intermediate, and predominantly rural types. We apply Theil Index to examine the development of disparities and test the phenomena with unconditional β-convergence hypothesis. The analysis indicates that the growth of all CEE countries and their regions is faster than the EU14 average; the capitals considerably exceed it, the catch-up of other urban regions is also relatively fast, while it is very slow in the case of other regions. The convergence between the 185 regions is weak, based on the EU region typology it was initially strong between the capitals, moderate in the case of intermediate and rural types, while divergence can be observed in the urban types. The catch-up of less developed regions is very slow despite EU cohesion funding, even though 80% of the population live here. The stagnation of regional disparities and slow catch-up of less developed regions indicate the poor efficiency of the EU cohesion policy. © 2023, The Author(s). LA - English DB - MTMT ER - TY - JOUR AU - Pregi, Loránt AU - Novotný, Ladislav TI - Spatial Autocorrelation Methods in Identifying Migration Patterns: Case Study of Slovakia JF - APPLIED SPATIAL ANALYSIS AND POLICY J2 - APPL SPAT ANAL POL VL - 18 PY - 2024 IS - 1 SN - 1874-463X DO - 10.1007/s12061-024-09615-5 UR - https://m2.mtmt.hu/api/publication/35572630 ID - 35572630 AB - The collapse of the socialist regime led to significant changes in migration patterns, garnering considerable attention in geographical research. However, despite the increased interest, many studies on internal migration lack a detailed analysis of its spatial aspects. Spatial autocorrelation methods can reveal spatial patterns, but so far they have not been applied in the detailed research of internal migration in post-socialist countries. The aim of this study is to explore the spatial patterns of internal migration with regard to intra-regional and inter-regional migration processes using selected indicators of spatial autocorrelation (Global Moran’s I, Anselin local Moran’s I and Getis-Ord Gi* statistic) with Slovakia as a case study. A partial goal is to evaluate the benefits of applying these methods in the assessment of internal migration. Local indicators of spatial autocorrelation demonstrated significant differentiation of both intra-regional and inter-regional migration processes. The dominant intra-regional process is the decentralization of the population, which is very intensive in the regions of the largest towns and cities. Inter-regional migration displays spatial polarisation, emphasizing the importance of the location of key economic centres. The methodology employed in this study clearly displays the clusters of municipalities with above-average and below-average values. This approach enables the identification and cartographic interpretation of specific municipalities where migration contributes the most to the spatial redistribution of the population. The study serves as a valuable framework for similar analyses, emphasizing the broader applicability of spatial autocorrelation methods in studying migration patterns. LA - English DB - MTMT ER -