###### Abstract  
Spatial Data Infrastructure (SDI) is a decision-making tool that is often used in the area of urban planning. At the same time, many other data sources with great utility potential, such as Big Data, can be identified. The aim of the paper is to present the possibility of using mobile Big Data collections with data from Polish SDI, for the purposes of local spatial planning on the example of the tourist town, Mikolajki in Poland. The publication also focuses on assessing the quality of data, as well as the decision-making process supported by these sources. The draft of the local spatial development plan 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 contribution is 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.  
planned land use; user-generated geographic datasets; spatial decision; location-enabled mobile devices +
Footnote †: journal: Medical  
centers, remote, in-situ, and on-vehicle sensors, mobile devices location tracking, real-time tracking of moving features, observations of urban environment in social media from citizens.  
Both Big Data and open data, as well as the volunteered systems create new possibilities in different aspects of spatial planning. [PERSON] et al. [20] pointed out that integrating social media and other volunteered resources with information from SDI offers a high potential for eliciting pluralist knowledge for spatial planning. [PERSON] and [PERSON] [21] reviewed the role of the social media in domains such as individual activity patterns, urban land use, transportation behavior, and landscape. [PERSON] et al. [22] presented the concept of the spatial big data infrastructure, which allows us to analyze social and economic aspects of cities and city-regions across the UK. [PERSON] et al. [23] described the examples of use of the multi-source repositories in the monitoring of regional land-use dynamics. The usability of these solutions in agricultural economics and management was indicated by [24]. [PERSON] et al. [25] stated that the availability of large amounts of user-generated content allows for a computational analysis and quantification of the shared meaning of a place. A city may be referenced not only to its spatial representation, but platial characteristics, which are created through individual and collectively derived representations [26].  
There is a lack of in-depth research on the use of Big Data at the level of local spatial planning and practical examples of how datasets can be combined and adapted for analysis and planning procedures, which may be a reference point for different stakeholders who take part in spatial planning processes.  
The aim of the paper is to present the possibility of using Big Data collections from mobile devices in conjunction with the data from the Polish Spatial Data Infrastructure main access point, for the purpose of carrying out the urban task of developing local zoning plans. The article describes how these resources open new opportunities in the aggregation of data concerning places and how they may be used in the process of defining the planned land use, taking into account values of the local landscape. The publication also focuses on assessing the quality of data sources used to obtain a thorough understanding of places and the decision-making process in spatial planning supported by the linking of SDI data to Big Data sources.