## 5 Conclusions  
The research carried out assessed the possibilities of incorporating SDI and Big Data resources into local urban planning The draft of the local spatial development plan of Mikolajki was verified based on integrated data sources. The results showed that the visualization of Big Data as a heat map may be used in urban tasks and as the thematic layer integrated with vector and raster data sets from the SDI in the geographic information system software. The analysis of the buildings, parcels, transportation, cultural, and natural conditions allowed new functions to be set for the whole city and the parameters for land management to be specified more precisely. The Big Data set met the expectations regarding the assumptions made in the project and the decision-making process based on these sources was improved. The contribution of this work is the presentation of the case of platial analysis in one of the local spatial planning tasks, such as development of local zoning plans. It is also the practical example how information about users of mobile devices and some information from behavioral profiles may be analyzed for the purposes of verifying planned land use. Analyses based on mobile Big Data sets, as well as the SDI, are the source of information that may be essential considering all levels of spatial planning, starting from the local zoning plans, through the study of the conditions and directions of spatial planning, to the zoning plan of the province and, finally, the concept of national spatial planning strategy. Depending on the specificity of the area, it is worth adjusting not only the scope of the analysis, but also the set of data used. In other words, the set of characteristics of users analyzed should be adapted depending on whether tourist, metropolitan, rural or border areas are analyzed. This type of research is worth conducting at every stage of the planning procedure. Even if the planning works are already advanced, it is worth verifying the proposals. The authors also propose to consider the possibility of changing the Polish legal regulations on the access to data, e.g., from mobile networks or the main statistical office. Open access to such data, in open data formula, can stimulate the development of an improved, deeper decision-making process in spatial planning. In Poland, another limitation of Big Data use is undoubtedly the relatively high price of performing this type of analysis. Among other things, due to the deregulation of the town-planners' profession, the price of local zoning plans is falling steadily, so spending further funds on such detailed analyses is not always accepted by both urban planning firms and contracting authorities. The study showed the potential in the possibility of applying the analysis of users of devices during the planning procedure. It is worth extending the research towards mobile crowd-sensing, and in particular user profiling in the area of urban tasks. Big Data creates new possibilities for spatial planning analysis, which is expressed by visualizations and modeling. **Author Contributions:** Conceptualization, A.Z.-R. and A.M.; methodology, A.Z.-R. and A.M.; software, A.M.; validation, A.M.; formal analysis, A.M.; investigation, A.Z.-R. and A.M.; resources, A.M.; data curation, A.M.; writing--original draft preparation, A.Z.-R.; writing--review and editing, A.Z.-R. and A.M.; visualization, A.M.; supervision, A.Z.-R.; project administration, A.M.; funding acquisition, A.Z.-R. All authors have read and agreed to the published version of the manuscript. **Funding:** This research was funded by the Military University of Technology in Warsaw, grant number UGB no. 705/2024. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** The data that support the findings of this study are available from the corresponding author upon reasonable request. **Conflicts of Interest:** The authors declare no conflicts of interest.