The main types of analysis in GIS include spatial analysis, which analyzes the spatial relationships and patterns of geographic data; attribute analysis, which focuses on the non-spatial attributes of geographic data; and network analysis, which examines the connectivity and accessibility of geographic features in a network. Other types of analysis include terrain analysis, suitability analysis, and interpolation analysis.

because in the spatial analysis can help us to calculate the open space in area ,it called "statistical"

Luc Anselin has written:

'Spatial econometrics' -- subject(s): Econometric models, Regional economics, Space in economics

'Perspectives on spatial data analysis' -- subject(s): Spatial analysis (Statistics), Datenanalyse, Raumwirtschaftstheorie

'Estimation methods for spatial autoregressive structures' -- subject(s): Autocorrelation (Statistics), Econometrics, Estimation theory, Spatial analysis

Spatial analysis is the process of examining the relationships between geographic data sets and uncovering patterns and trends in the context of location. It involves using statistical methods and GIS technology to analyze spatial data to provide insights for decision-making. Spatial analysis is commonly used in various fields such as urban planning, environmental studies, and business intelligence for understanding spatial relationships and making informed decisions.

Wenzhong. Shi has written:

'Principles of Modeling Uncertainties in Spatial Data and Spatial Analysis'