کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7486413 1485436 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Understanding spatial filtering for analysis of land use-transport data
ترجمه فارسی عنوان
درک فیلتراسیون فضایی برای تجزیه و تحلیل داده های حمل و نقل زمینی
کلمات کلیدی
فیلتر فضایی، تغییر کاربری زمین، ارزیابی زمین، پروبیات فضایی، رگرسیون خودکار رگرسیون فضایی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست علوم زیست محیطی (عمومی)
چکیده انگلیسی
This paper summarizes the literature on spatial filtering (SF) for analysis of spatial data. Given the scarcity of its application in transportation and its fledgling nature, preliminary case studies were conducted using continuous and discrete response data sets, for land values and land use, in comparison with results from spatial autoregressive (SAR) models with distance decay parameters estimated using Bayesian techniques. For both the continuous land value and binary land use cases, the SF approach demonstrates great potential as a worthy competitor to more conventional SAR-based models. In addition to offering high fit statistics, somewhat shorter computing times, and more straightforward computations, the SF approach makes explicit the patterns of spatial dependency in the land value and land use data. By controlling for these spatial relationships, the SF approach yields more reliable marginal effects of policy variables of interest. Model results confirm the important role of transportation access (as quantified using distances to a region's central business district, and various roadway types).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Transport Geography - Volume 31, July 2013, Pages 123-131
نویسندگان
, , ,