資料分析功能是地理資訊系統的主要特性之一，目前的地理資訊系統分析功能主要以幾何或數學運算為主，甚少運用到其他空間分析的功能，尤其是空間統計（spatial statistics）的應用。本研究整合空間統計與地理資訊系統功能，分析雲林縣沿海地區的土地利用變遷情形。 馬可夫鏈結模式（Markov Model）首先用來分析三個五至七年不等時期的土地利用變遷趨勢，然後應用聚集分析（cluster analysis）來探究土地利用在時間與空間（space and time）的變化情形。從研究過程顯示，如此繁複的分析與空間特性的展現，如果沒有整合地理資訊系統技術勢必無法完成。研究結果顯示整合空間分析功能於地理資訊系統的必要性，以及運用地理資訊系統技術於空間分析的優越性。

　　　　　Spatial data analysis is the key component of GIS. Current GIS systems focus on analytical functions for geometric operations, but few spatial statistical functions were used in GIS. This paper examined the feasibility of combining GIS and spatial statistical techniques in the analysis of land use changes in the coastal area of Yunlin County, Taiwan. Markov model was employed to analyze land use changes for three 5-7-year time intervals during 1976-1992. The spatial pattern analysis went a step further by cluster analysis to derive the change pattern over space and time. The result indicates different patterns and trends of land use changes among three different land use types. This result cannot be derived solely by either GIS functions or statistical analyses. It can only be derived by integrating GIS and spatial analysis. The applicability of integrating spatial statistics and GIS has been explored.