Students of the THB present innovative home analysis in Brandenburg

Students of the THB present innovative home analysis in Brandenburg

Brandenburg an der Havel, Deutschland - Cologne students develop innovative method for residential assessment

An exciting project comes from the Technical University of Brandenburg (THB), where students have designed a new method for data -based classification of residential areas in Brandenburg an der Havel. According to Meetingpoint Brandenburg , diverse specialist data and statistical methods such as cluster analysis, factor analysis and discriminatory analysis were used.

The students have taken into account a wide range of relevant indicators, which include the proximity to doctors, schools, daycare centers as well as shopping and green space. The result of their work was clearly presented in interactive cards, which makes the information accessible to decision -makers and citizens. The final presentation took place in front of employees of the statistics and elections as well as members of the Rental Missual Working Group. The department head Conny Thiele praised the results that can serve as a solid scientific basis for future residential complex calculations. Professor André Nitze emphasized the practical proximity of the project and emphasized how useful it is to use the students learned.

diverse data and analyzes

In addition to the development of this method, the residential areas cards from 2019 to 2023 were also analyzed, which provide various formats such as shapefiles, CSV and GML. For this purpose, reference is made to the comprehensive data on Govdata . The most important publication data of the residential areas from recent years are as follows:

• 2019: Available since January 21, 2022
• 2020: Available since 01/21/2022
• 2021: Available since 01/21/2022
• 2022: Available since 04/11/2022
• 2023: Available since March 27, 2023

The possibility of using this data in different formats is of great value for further analyzes. The provision of such data creates the prerequisite for well -founded decisions in urban planning and the real estate market.

The importance of cluster analysis

A key tool in this project is the cluster analysis. As explains Novustat , this is a standard procedure in statistics and in data mining, which serves to group observations. The goal is to form homogeneous groups in which the units resemble each other, while the groups differ significantly.

Cluster analysis is not only important in urban research, but also in other areas such as psychology, medicine and marketing. The procedure includes several steps, including the determination of the range of distance, group formation and the interpretation of the results. The THB students took advantage of this theoretical knowledge to achieve concrete, practical results.

Overall, the project shows a successful connection between theory and practice and makes a significant contribution to data -based housing rating. It remains exciting to observe how these research results are implemented in practice and what other possibilities the future urban development in Brandenburg an der Havel opens.