以地处秦岭山区的商州区为例,采用核密度估算法(KDE),并结合景观指数方法及GIS空间分析技术,探讨了县域路网空间格局及其对乡村聚落景观破碎化的影响。结果表明:(1)KDE 法能有效识别和提取高密度路网热点区域,2 km的带宽能清晰辨别出路网的密度中心;(2)商州区的路网在空间分布上具有不均衡性,总体上呈分支状分布,呈现一“核”多“极”的发展态势;(3)随着道路辐射能力的减弱,乡村聚落的景观破碎度逐渐加剧;(4)随着路网密度等级的提高,乡村聚落的景观破碎度逐渐下降。
Taking Shangzhou district as the study area, the article was to explore the county's road network and its impact on landscape fragmentation of the rural settlements by employing kernel density estimation (KDE), combining with landscape index method and GIS spatial analysis techniques. The study had the following results: 1) kernel density estimation(KDE) can effectively identify and extract the hot region of high density road network, the density centers of the road network can be clearly identified by 2 km bandwidth;2) the road network in Shangzhou District represents imbalanced in the spatial distribution, and was branched in general, it also presented a“core”and more“extreme”spatial development tendency;3) with the weakening of the road radiation, landscape fragmentation of rural settlements gradually increased;4) with the elevation of the road network density grades, landscape fragmentation of rural settlements gradually decreased.