金投入與人口的增減與移動來表現(Smith et al.,1988)，而人口與資金在空間上的 移動，除了造成都市經濟條件的改變，並對都市計畫、公共設施的服務機能和需
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立 政 治 大 學
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確實為次市場研究時合適的整併基礎，的確能夠解決過去文獻對於次市場研究時 合併與分割的最小單元問題，分析時能有更細緻單元操作。
當然，也建議研究者針對最小統計區的後續研究操作上，可以再架構出更多 配合研究目的的地理分類，甚至納入更多元的空間特徵屬性，包括學區、嫌惡設 施等等，若能善用地理變數產生各種交叉資訊，可增進解析資料的能力，並且運 用相同的空間地理單元予以更適當的結合，進行以地域空間為基礎的整合性分析 與運用，促進瞭解資料間之關聯性，相信能使最小統計區作為基本單元的解釋能 力再度提升，並且針對不同研究能有更為有力的解釋結果。
由於分組分析方法的操作和相關研究尚未臻完善，故此領域尚存許多空間有 待探索，關於操作時使用的分組條件針對不同研究該如何做出選擇，或是範圍的 劃分該選擇相鄰或不相鄰都會產生不同的結果，都是後續研究操作上值得深究的 議題。最後，國內較缺乏以分組分析法運用於房地產的研究，此方法能針對空間 相依性、異質性和建築特徵等條件分析分組，實屬為相當難得之方法，相信於大 量估價或各類價格指數的編制上也能有極大幫助，例如政府對於地價區段的劃設、
實價登錄價格指數的建制等。
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Housing Market Segmentation, J Real Estate Finan Econ