阴山学刊(自然科学版)
陰山學刊(自然科學版)
음산학간(자연과학판)
YINSHAN ACADEMIC JOURNAL
2015年
1期
30-36
,共7页
胡君德%李百岁%张婷%谷俊杰
鬍君德%李百歲%張婷%穀俊傑
호군덕%리백세%장정%곡준걸
城镇地价%空间自相关%半变异函数%Kriging插值%各项异性
城鎮地價%空間自相關%半變異函數%Kriging插值%各項異性
성진지개%공간자상관%반변이함수%Kriging삽치%각항이성
Urban Land price%Spatial autocorrelation%Semi-Variance function%Kriging interpolation%Aniso-tropic
基于地统计学方法及其相关理论,以免渡河为例,研究城镇地价的分布格局,并运用空间自相关和Kriging插值法分析方法进一步揭示了城镇地价的空间分异特征和空间集聚分布规律。本文数据源自免渡河镇2012年土地分等定级及基准地价更新。采用Moran’sI、Getis’ G指数和地统计学中的半变异性方法对免渡河镇的商业和住宅地价的全局自相关与局域自相关及各项异性进行全面分析,并运用Kriging插值法与空间自相关对比分析,且均采用球状模型曲线得出:免渡河镇的地价在1700米的范围内均存在正相关及高聚集性,随着距离的增大,自相关性逐步减弱,地价的空间自相关在各个方向都不径相同,且在部分区域表现有异质性。在西北-东南方向地价的空间自相关范围要大于东北—西南方向,且随机性较强,如商业地价在此方向的的自相关变化程度较大。
基于地統計學方法及其相關理論,以免渡河為例,研究城鎮地價的分佈格跼,併運用空間自相關和Kriging插值法分析方法進一步揭示瞭城鎮地價的空間分異特徵和空間集聚分佈規律。本文數據源自免渡河鎮2012年土地分等定級及基準地價更新。採用Moran’sI、Getis’ G指數和地統計學中的半變異性方法對免渡河鎮的商業和住宅地價的全跼自相關與跼域自相關及各項異性進行全麵分析,併運用Kriging插值法與空間自相關對比分析,且均採用毬狀模型麯線得齣:免渡河鎮的地價在1700米的範圍內均存在正相關及高聚集性,隨著距離的增大,自相關性逐步減弱,地價的空間自相關在各箇方嚮都不徑相同,且在部分區域錶現有異質性。在西北-東南方嚮地價的空間自相關範圍要大于東北—西南方嚮,且隨機性較彊,如商業地價在此方嚮的的自相關變化程度較大。
기우지통계학방법급기상관이론,이면도하위례,연구성진지개적분포격국,병운용공간자상관화Kriging삽치법분석방법진일보게시료성진지개적공간분이특정화공간집취분포규률。본문수거원자면도하진2012년토지분등정급급기준지개경신。채용Moran’sI、Getis’ G지수화지통계학중적반변이성방법대면도하진적상업화주택지개적전국자상관여국역자상관급각항이성진행전면분석,병운용Kriging삽치법여공간자상관대비분석,차균채용구상모형곡선득출:면도하진적지개재1700미적범위내균존재정상관급고취집성,수착거리적증대,자상관성축보감약,지개적공간자상관재각개방향도불경상동,차재부분구역표현유이질성。재서북-동남방향지개적공간자상관범위요대우동북—서남방향,차수궤성교강,여상업지개재차방향적적자상관변화정도교대。
The data in this article derived from the urban of Mian DuHe land update and land gradation in 2012 .Based on Spatial autocorrelation statistics and Geostatistical theory and methods to explore the distribution pattern of urban land price , Further reveals the spatial characteristics and distribution law of spatial agglomeration . Using global and local spatial statistics for autocorrelation in the index of Moran ’ I and Getis’G with the half varia-tion function of geostatistical fora comprehensive analysis of uban of Mian DuHe commercial and residential prices from General to local characteristics the spatial distribution and Anisotropic .Combined with the Kriging interpola-tion method and its analysis , And using spherical model curves obtained:the land prices in the range of 1700 me-ters were positively correlated and high aggregation , As the distance increases , its premium autocorrelation gradual-ly weakened , the Spatial autocorrelation of the land in every direction are not the same size , and in some regions there is heterogeneity .In Northwest-Southeast direction premium range of Spatial autocorrelation than as a north-east-southwest direction , and randomness is strong , such as autocorrelation of commercial land in the direction of change is quite large .