This paper presents a novel methodology for land-use pattern comparison with the application of image smoothing algorithms and histogram similarity. This method measures the degree of similarity between land-use patterns with integrative consideration of the composition and the spatial relationship of land-use units. This paper verified the effectiveness of the proposed method through experiments of the land-use pattern comparison with simulated land-use maps, demonstrated the applicability of the method in urban studies by a sample application of this method to the land-use pattern comparison of 6 Shinkansen station areas, and clarified the limitations of this method.
