This publication presents the scope of analyses and the results of the study on de-mand for land consolidation works in a hitherto unexplored area of Poland, located in the cadastral districts of the Bałtów commune. The authors analysed the spatial structure of the area under study, resulting in rankings (developed using statistical methods) of the areas which should be included in the land consolidation process in the first place. These rankings were based on selected diagnostic factors, described in detail and selected on the basis of own research and literature patterns. The study area comprises fourteen cadastral districts with a total area of 105.04 km2, consi-sting of a total of 18 245 cadastral plots. The analysis was performed for source data obtained from official databases, including the Land and Property Register of the Ostrowiec Świętokrzyski County Starosty. The study examined the structure of land possession and use as well as selected parameters of the internal plot patchwork. The study also examined the productivity of soils and the size of the external plot patchwork. In addition, land exchange in the Bałtów commune was simulated. On the basis of this study, a ranking was developed showing the hierarchy of the defective spatial structure of the cadastral districts. The results were verified using several known statistical methods, namely the SAW, the unitisation with zero minimum method (MUZ) and the TOPSIS. Using the SAW method in a comparison with the popular zero-unitarisation and TOPSIS methods may be regarded as a new contribution to the subject knowledge.

中文翻译：

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波兰土地整理工程需求分析 – Bałtów 公社案例研究


本出版物介绍了在波兰迄今为止未开发的地区（位于 Bałtów 公社的地籍区）进行土地整理工程的分析范围和研究结果。作者分析了所研究区域的空间结构，从而得出了首先应包含在土地整理过程中的区域的排名（使用统计方法开发）。这些排名基于选定的诊断因素，详细描述并根据自己的研究和文献模式进行选择。研究区包括 14 个地籍区，总面积为 105.04 km2，共计 18 245 个地籍地。分析是对从官方数据库获得的源数据进行的，包括 Ostrowiec Świętokrzyski County Starosty 的土地和财产登记册。该研究检查了土地占有和使用的结构以及内部地块拼凑的选定参数。该研究还检查了土壤的生产力和外部地块拼凑的大小。此外，还模拟了 Bałtów 公社的土地交换。在这项研究的基础上，开发了一个排名，显示了地籍区有缺陷的空间结构的层次结构。使用几种已知的统计方法验证了结果，即 SAW、最小为零的单位化方法 （MUZ） 和 TOPSIS。将 SAW 方法与流行的零幺正化和 TOPSIS 方法进行比较，可以被视为对学科知识的新贡献。