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ISPRS International Journal of Geo-Information, Volume 7, Issue 4

April 2018 - 33 articles

Cover Story: This study explores the inconsistent findings regarding the associations between environmental exposures and leisure-time physical inactivity (LTPI). By comparing the correlations between LTPI and different environmental factors for all counties in the conterminous U.S., the results highlight the spatial non-stationarity of the associations. The existence of spatial non-stationarity that leads to biased estimators, which were often ignored in past research, may be another reason for the inconsistent findings in previous studies besides the modifiable areal unit problem and the uncertain geographic context problem. Thus, the research findings at one location may not be generalized and applied globally. From the perspective of health policy, an effective policy that helps to promote public health in one county may not be effective in another place due to spatial non-stationarity. View the paper here.
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Articles (33)

  • Article
  • Open Access
44 Citations
8,106 Views
21 Pages

As one of the most popular social networking services in the world, Twitter allows users to post messages along with their current geographic locations. Such georeferenced or geo-tagged Twitter datasets can benefit location-based services, targeted a...

  • Article
  • Open Access
13 Citations
4,281 Views
15 Pages

Vertical crustal movements can be calculated on the basis of Global Navigation Satellite Systems (GNSS) permanent stations positioning results (the absolute motion) as well as on vectors between the stations (the relative motion). The time series, wh...

  • Feature Paper
  • Article
  • Open Access
45 Citations
10,099 Views
19 Pages

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections

  • Johannes H. Uhl,
  • Stefan Leyk,
  • Yao-Yi Chiang,
  • Weiwei Duan and
  • Craig A. Knoblock

Historical maps are unique sources of retrospective geographical information. Recently, several map archives containing map series covering large spatial and temporal extents have been systematically scanned and made available to the public. The geog...

  • Editorial
  • Open Access
3 Citations
5,433 Views
2 Pages

Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis

  • Jan Dirk Wegner,
  • Ribana Roscher,
  • Michele Volpi and
  • Fabio Veronesi

Advances in machine learning research are pushing the limits of geographical information sciences (GIScience) by offering accurate procedures to analyze small-to-big GeoData. This Special Issue groups together six original contributions in the field...

  • Article
  • Open Access
3 Citations
5,477 Views
16 Pages

Association rule (AR) mining represents a challenge in the field of data mining. Mining ARs using traditional algorithms generates a large number of candidate rules, and even if we use binding measures such as support, reliability, and lift, there ar...

  • Article
  • Open Access
26 Citations
7,024 Views
22 Pages

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

  • Fei Hu,
  • Mengchao Xu,
  • Jingchao Yang,
  • Yanshou Liang,
  • Kejin Cui,
  • Michael M. Little,
  • Christopher S. Lynnes,
  • Daniel Q. Duffy and
  • Chaowei Yang

Big geospatial raster data pose a grand challenge to data management technologies for effective big data query and processing. To address these challenges, various big data container solutions have been developed or enhanced to facilitate data storag...

  • Article
  • Open Access
14 Citations
5,191 Views
17 Pages

The Advanced Spaceborne Thermal-Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) is important to a wide range of geographical and environmental studies. Its accuracy, to some extent associated with land-use types reflect...

  • Article
  • Open Access
27 Citations
6,856 Views
23 Pages

Considerable research has been conducted to advance our understanding of how environmental factors influence people’s health behaviors (e.g., leisure-time physical inactivity) at the neighborhood level. However, different environmental factors may op...

  • Article
  • Open Access
12 Citations
6,053 Views
18 Pages

In this paper, the authors describe the realization and testing of a Wireless Sensor Network (WSN) framework aiming at measuring, remotely and in real time, the level variations of the sand layer of sandy beaches or dunes. The proposed framework is b...

  • Article
  • Open Access
6 Citations
4,907 Views
19 Pages

Rock formations are among the most spectacular landscape features both for experts and the public. However, information about these objects is often stored inaccurately in existing spatial databases, their corresponding elevations are missing, or the...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964