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ISPRS International Journal of Geo-Information, Volume 6, Issue 10

October 2017 - 29 articles

Cover Story: We investigated groundwater nitrate contamination in the Central Valley aquifer, California, USA, in relation to the source variables, aquifer characteristics, and geochemical conditions using three different statistical methods: Geodetector (GED), Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR). Our comparative analysis of the three methods showed that GED was more advantageous, because it was less restrictive on input data, its output was more intuitive to interpret, and it captured all aspects of what the other two methods did. GED detected precipitation, fertilizer, manure, elevation, and clay as significant variables in controlling the spatial distribution of groundwater contamination in the Central Valley aquifer. San Joaquin Basin and Tulare Basin were identified as vulnerable regions with a higher percent of wells containing above 5 mg/L of nitrate. View the paper
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Articles (29)

  • Article
  • Open Access
35 Citations
9,958 Views
15 Pages

Machine Learning Classification of Buildings for Map Generalization

  • Jaeeun Lee,
  • Hanme Jang,
  • Jonghyeon Yang and
  • Kiyun Yu

A critical problem in mapping data is the frequent updating of large data sets. To solve this problem, the updating of small-scale data based on large-scale data is very effective. Various map generalization techniques, such as simplification, displa...

  • Article
  • Open Access
12 Citations
6,708 Views
17 Pages

Soil organic carbon stock plays a key role in the global carbon cycle and the precision agriculture. Visible and near-infrared reflectance spectroscopy (VNIRS) can directly reflect the internal physical construction and chemical substances of soil. T...

  • Article
  • Open Access
11 Citations
10,667 Views
19 Pages

Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation

  • Sara Saeedi,
  • Steve Liang,
  • David Graham,
  • Michael F. Lokuta and
  • Mir Abolfazl Mostafavi

Recent advances in sensor and platform technologies, such as satellite systems, unmanned aerial vehicles (UAV), manned aerial platforms, and ground-based sensor networks have resulted in massive volumes of data being produced and collected about the...

  • Article
  • Open Access
47 Citations
8,730 Views
15 Pages

Most studies of spatial colocation patterns of crime and land-use features in geographical information science and environmental criminology employ global measures, potentially obscuring spatial inhomogeneity. This study investigated the relationship...

  • Article
  • Open Access
29 Citations
6,980 Views
16 Pages

In the increasingly serious aging China, aged service is the provision of one of the most urgent and important public services to citizens, and private facilities has become an important service force with the aged service market opening in China. Th...

  • Article
  • Open Access
5 Citations
5,704 Views
14 Pages

Towards Detecting the Crowd Involved in Social Events

  • Wei Huang,
  • Hongchao Fan and
  • Alexander Zipf

Knowing how people interact with urban environments is fundamental for a variety of fields, ranging from transportation to social science. Despite the fact that human mobility patterns have been a major topic of study in recent years, a challenge to...

  • Article
  • Open Access
13 Citations
5,324 Views
20 Pages

The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system for urban sightseeing spots in order to support individual, as well as group sightseeing activities while taking into consideration the user’s n...

  • Article
  • Open Access
5 Citations
5,964 Views
16 Pages

Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil

  • Renato Fontes Guimarães,
  • Wátila Portela Machado,
  • Osmar Abílio De Carvalho,
  • David R. Montgomery,
  • Roberto Arnaldo Trancoso Gomes,
  • Harvey M. Greenberg,
  • Márcio Cataldi and
  • Pedro Coutinho Mendonça

Spatial patterns of shallow landslide initiation reflect both spatial patterns of heavy rainfall and areas susceptible to mass movements. We determine the areas most susceptible to shallow landslide occurrence through the calculation of critical soil...

  • Article
  • Open Access
39 Citations
10,192 Views
23 Pages

Analyzing Refugee Migration Patterns Using Geo-tagged Tweets

  • Franziska Hübl,
  • Sreten Cvetojevic,
  • Hartwig Hochmair and
  • Gernot Paulus

Over the past few years, analysts have begun to materialize the “Citizen as Sensors” principle by analyzing human movements, trends and opinions, as well as the occurrence of events from tweets. This study aims to use geo-tagged tweets to identify an...

  • Article
  • Open Access
8 Citations
5,664 Views
19 Pages

A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points

  • Yibin Ren,
  • Zhenjie Chen,
  • Ge Chen,
  • Yong Han and
  • Yanjie Wang

Airborne Light Detection and Ranging (LiDAR) is widely used in digital elevation model (DEM) generation. However, the very large volume of LiDAR datasets brings a great challenge for the traditional serial algorithm. Using parallel computing to accel...

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