## 1 Introduction  
Information systems (IS) research examines more than the technological or social system, or the two side by side; it investigates the phenomenon that emerges when the two interact [1]. IS, as a design science, does not attempt to develop concrete information technologies (IT) applications but, rather, general solution concepts that help to develop the concrete IT applications or specific solution concepts [1]. In our previous article [2], we presented Spatial Pattern (SP) Description, Identification, and Application Methodology (SPDIAM) and SP identification algorithm. SPDIAM allows urban planning and design practitioners to describe SP in a computerized manner, identify SP automatically, and apply them in the spatial planning and design domain. SPDIAM is based on the Space Syntax method and normalized spatial and non-spatial measures and can be used with the statistical social, economic, and environmental indicators, which are related to the urban sustainability and spatial capital. The concepts that were created at the stage of defining SPDIAM can be used for the development of the spatial structure (such as network or grid) analysis tools in Geographic Information System (GIS). Space Syntax approach was chosen as the most appropriate for this research as it: (a) viewsthe urban spaces as a complex, constantly interacting network, thus reflecting nature of a city as a complex, dynamic system; (b) uses mathematical methods and mathematical graph model; (c) offers a high variety of theoretically grounded and empirically tested both normalized and not normalized centrality measures, which create a lot of possibilities for spatial configuration analysis and comparison; and (d) could be seen as a tool to evaluate spatial capital [3]. Examples on disciplines where Space Syntax has been applied are: anthropology, archaeology, architecture, urban planning and design, geography, psychology (wayfinding and perception of safety), sociology, criminology, real estate development, and road engineering [4]. Space Syntax was applied in various urban design, strategic planning, and consultancy projects, such as public realm design for Trafalgar Square, the new highway link through the Dutch city of Leiden, the strategic plan for railway stations for North Holland, the use of space syntax in densification strategies in the Norwegian city of Bergen, the master plan of Jeddah, the redesign of Woolwich Squares in London, the regeneration of the areas around King's Cross Station in London, the upgrade of the Old Market Square in Nottingham, the evaluation of the location of the Millennium Bridge in London, and the creation of spatial strategies for the Chinese city of Changchun, among others [5]. In this article, we further analyze the static and dynamic view of SPDIAM [2], e.g., UML class model, that describes SP structure and attributes, and the methods and algorithms to identify spatial meta-patterns in the spatial data sets. The analysis is based on the theory of Complex Spatial System (CSS) as a system of interest of SPDIAM, and CSS represents the spatial entity for which SP is identified. Examples of CSS are regional systems (cities, regions, European Union), urban systems (cities disaggregated to show their structure and working), functional systems (economic (agriculture, resource, manufacturing industry, consumer services, producer services), social, labor market, spatial systems (point patterns (e.g., systems of cities), interactions (commuting flows), networks (traffic, communications), etc. [6]. SPDIAM is based on the spatial configuration and spatial capital [7] concepts, as they closely examine the structure, constitution, and attributes of SP, as well as on detailed research of SPDIAM problems and methods using Design Science Research in IS [1], Complex Spatial System Approach [6], and Algorithmic Approach [8].