Study　of　spatial　scale　effect　on　regional　land-use　pattern　analysis　for　construction　of　spatial　model　of　regional　land-use　change　entails　consideration　of　regional　land-use　classification　system　selected　and　data　source　used.　The　effect　characteristics　of　spatial　scale　on　the　results　of　regional　land-use　pattern　analysis　was　investigated　for　two　different　classification　systems　and　different　data　sources　in　terms　of　spatial　autocorrelation　by　empirical　study　in　the　Fujian　province　of　China.　Fujian　province　and　Longhai　County,　are　selected　representing　two　hierarchical　management　levels.　At　County　level,　two　different　data　sources　are　used:　the　1:　100,000　land　use　map　interpreted　from　Landsat　TM　of　2000　and　1:10,000　land　use　surveying　map　of　2000.　Results　showed　that　all　land　uses　in　our　study　area　shows　strong　positive　spatial　autocorrelation　and　VMI　of　most　land　uses　are　scale-dependent.　VMI　of　most　land　uses　decrease　with　increasing　grain　size　except　in　Fujian　province　and　VMI　of　regional　land　use　from　more　coarse　scale　land　use　map　decreases　more　sharply　with　increasing　grain　size.　Characteristics　of　fractal　dimension　are　similar　to　that　of　spatial　autocorrelation　in　both　Counties　to　a　certain　extent.　When　two　or　three　land　uses　are　combined　into　one,　the　fractal　dimension　of　it　is　comparatively　larger　than　the　original　ones　but　No　general　laws　in　terms　of　VMI　were　seen.　There　may　be　more　variation　of　VMI　of　land　uses　in　more　detailed　classification　system.　Reducing　number　of　land-use　for　one　classification　system　may　diminish　the　loss　of　information　of　land　use　area　across　the　range　of　scale　and　the　effect　of　spatial　scale　on　regional　land-use　analysis　in　certain　extent.