Uncertainty and Context in GIScience and Geography : Challenges in the Era of Geospatial Big Data

個数：
  • ポイントキャンペーン

Uncertainty and Context in GIScience and Geography : Challenges in the Era of Geospatial Big Data

  • ウェブストア価格 ¥10,662（本体¥9,693）
  • Routledge（2023/09発売）
  • 外貨定価 US$ 54.99
  • ゴールデンウィーク ポイント2倍キャンペーン対象商品(5/6まで)
  • ポイント 192pt
  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 170 p.
  • 言語 ENG
  • 商品コード 9780367643003
  • DDC分類 910.285

Full Description

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data - including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) - inevitably contain errors, and their quality cannot be fully controlled during their collection or production.

Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches.

The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.

Contents

Introduction

Yongwan Chun, Mei-Po Kwan and Daniel A. Griffith

1. Uncertainty in the effects of the modifiable areal unit problem under different levels of spatial autocorrelation: a simulation study

Sang-Il Lee, Monghyeon Lee, Yongwan Chun and Daniel A. Griffith

2. Spatial autocorrelation and data uncertainty in the American Community Survey: a critique

Paul H. Jung, Jean-Claude Thill and Michele Issel

3. Uncertainties in the geographic context of health behaviors: a study of substance users' exposure to psychosocial stress using GPS data

Mei-Po Kwan, Jue Wang, Matthew Tyburski, David H. Epstein, William J. Kowalczyk and Kenzie L. Preston

4. Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN

Xinyi Liu, Qunying Huang and Song Gao

5. Same space - different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives

Andrew Curtis, Jacqueline W. Curtis, Jayakrishnan Ajayakumar, Eric Jefferis and Susanne Mitchell

6. Travel impedance agreement among online road network data providers

Eric M. Delmelle, Derek M. Marsh, C. Dony and Paul L. Delamater

7. A network approach to the production of geographic context using exponential random graph models

Steven M. Radil

Concluding Comments

Yongwan Chun, Mei-Po Kwan and Daniel A. Griffith