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Similar and different aspects of spatial development planning in Latvia and England Texte intégral
2018
Kukule, I., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia) | Pukite, V., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia) | Cintina, V., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia)
Spatial sustainable development planning and providing is a very responsible process. During the process, many spatial development planning documents for specific different time periods on different planning levels are being developed. However, there are only slight differences between the spatial development planning in many European countries where few of them can notice more than the others. Latvia and England, two European Union countries, which had some significant changes in legislation regarding spatial development planning in 2011, were selected for the comparison. The research aims to evaluate similar and different aspects of spatial development planning in Latvia and England. To achieve the aim, the information on spatial development planning tendencies in both countries, legislation, development order of planning documents and other aspects. The result is a comparison of different and similar aspects of spatial development planning in Latvia and England.
Afficher plus [+] Moins [-]Possibilities use to selected methods of spatial data mining in demographic data analytics Texte intégral
2018
Kurowska, K., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering | Kietlinska, E., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering | Kryszk, H., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering
The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making. Decision-making performance is determined by the availability of the relevant data and the user’s ability to adapt that data for analytical purposes. The popularity of spatial statistical tools is on the rise owing to the complexity of the analysed factors, their variation over time and their correlations with the spatial structure. Popular models should be applied in demographic analyses for the needs of the spatial planning process. The availability of high-resolution data and accurate analytical tools enhances the value of spatial analyses, and the described models can be universally applied to support the decision-making process. The aim of this study was to present the applicability of selected spatial statistical models for analysing demographic data in the planning process and to identify the main advantages of these models.
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