Spatial Cognition & Computation ( IF 1.533 ) Pub Date : 2018-11-28 , DOI: 10.1080/13875868.2018.1531871 Florian A. Twaroch 1 , Paul Brindley 2 , Paul D. Clough 3, 4 , Christopher B. Jones 5 , Robert C. Pasley 6 , Sue Mansbridge 3
ABSTRACT
People often communicate with reference to informally agreed places, such as “the city centre”. However, views of the spatial extent of such areas may vary, resulting in imprecise regions. We compare perceptions of Sheffield’s City Centre from a street survey to extents derived from various web-based sources. Such automated approaches have advantages of speed, cost and repeatability. We show that footprints from web sources are often in concordance with models derived from more labour-intensive methods. Notable exceptions however were found with sources advertising or selling residential property. Agreement between sources was measured by aggregating them to identify locations of consensus.
中文翻译:
研究用于定义不精确区域的行为和计算方法
摘要
人们经常参考非正式商定的地点进行交流,例如“市中心”。但是,这些区域的空间范围的视图可能会有所不同,从而导致区域不精确。我们将街道调查中对谢菲尔德市中心的看法与从各种基于网络的来源得出的程度进行比较。这样的自动化方法具有速度,成本和可重复性的优点。我们表明,网络资源的足迹通常与从劳动密集型方法得出的模型一致。但是,在广告或出售住宅物业的来源中发现了明显的例外。通过汇总来源之间的一致性来确定共识的位置,从而衡量来源之间的一致性。