60 articles in this issue
Chunyong Ma, Yu Zhang, Anni Wang, Yuan Wang and Ge Chen
Intelligent recognition of traffic police command gestures increases authenticity and interactivity in virtual urban scenes. To actualize real-time traffic gesture recognition, a novel spatiotemporal convolution neural network (ST-CNN) model is presented.... see more
Fan Zhang, Mingyuan Hu, Weitao Che, Hui Lin and Chaoyang Fang
Virtual Geographic Environment Cognition is the attempt to understand the human cognition of surface features, geographic processes, and human behaviour, as well as their relationships in the real world. From the perspective of human cognition behaviour a... see more
Rouzbeh Forouzandeh Jonaghani, Sepehr Honarparvar and Navid Khademi
In many moving object databases, future locations of vehicles in arterial networks are predicted. While most of studies apply the frequent behavior of historical trajectories or vehicles’ recent kinematics as the basis of predictions, consideration of the... see more
Ruisi Zhang and Min Zeng
ASTER (Advanced Spaceborne Thermal Emission and Reflection) satellite imagery is useful in assisting lithologic mapping and, however, its effectiveness is yet to be evaluated for lithologic complex such as tectonic mélange. The Mugagangri Group (MG), the ... see more
Wei Li, Yong Han, Yu Liu, Chenrong Zhu, Yibin Ren, Yanjie Wang and Ge Chen
The concealment and complex spatial relationships of urban underground pipelines present challenges in managing them. Recently, augmented reality (AR) has been a hot topic around the world, because it can enhance our perception of reality by overlaying in... see more
Xiaohu Zhang, Wenjun Zuo, Shengli Zhao, Li Jiang, Linhai Chen and Yan Zhu
Upscaling in situ soil moisture observations (ISMO) to multiscale pixel estimations with kriging is a key step in the comprehensive usage of ISMO and remote sensing (RS) soil moisture data. Scale effects occur and introduce uncertainties during upscaling ... see more
Pengdong Zhang, Jasper Beernaerts and Nico Van de Weghe
Benefiting from recent advantages in location-aware technologies, movement data are becoming ubiquitous. Hence, numerous research topics with respect to movement data have been undertaken. Yet, the research of dynamic interactions in movement data is stil... see more
Rosa Maria Cavalli
Split window (SW) methods, which have been successfully used to retrieve measurements of land surface temperature (LST) and sea surface temperature (SST) from MODIS images, were exploited to evaluate the SST data of three sections of Italian coastal water... see more
Mohamed Kefi, Binaya Kumar Mishra, Pankaj Kumar, Yoshifumi Masago and Kensuke Fukushi
Due to climate change, the frequency and intensity of Hydro-Meteorological disasters, such as floods, are increasing. Therefore, the main purpose of this work is to assess tangible future flood damage in the urban watershed of the To Lich River in Hanoi, ... see more
Xu-Feng Xing, Mir-Abolfazl Mostafavi and Seyed Hossein Chavoshi
LiDAR technology can provide very detailed and highly accurate geospatial information on an urban scene for the creation of Virtual Geographic Environments (VGEs) for different applications. However, automatic 3D modeling and feature recognition from LiDA... see more
Navid Hooshangi and Ali Asghar Alesheikh
Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in pos... see more
Jinxin Shen, Luo Chen, Ye Wu and Ning Jing
The buffer generation algorithm is a fundamental function in GIS, identifying areas of a given distance surrounding geographic features. Past research largely focused on buffer generation algorithms generated in a stand-alone environment. Moreover, dissol... see more
Yulong Wang, Kun Qin, Yixiang Chen and Pengxiang Zhao
Anomalous taxi trajectories are those chosen by a small number of drivers that are different from the regular choices of other drivers. These anomalous driving trajectories provide us an opportunity to extract driver or passenger behaviors and monitor adv... see more
IJGI Editorial Office
Peer review is an essential part in the publication process, ensuring that IJGI maintains high quality standards for its published papers. In 2017, a total of 403 papers were published in the journal.[...]
Aaron Gutiérrez and Josep-Maria Arauzo-Carod
This paper uses data on housing stock owned by financial entities as a result of foreclosures to analyze (1) the spatial logic of Spain’s mortgage crisis in urban areas, and (2) the characteristics of the types of housing most affected by this phenomenon.... see more
Muhammad Usman, Thomas Reimann, Rudolf Liedl, Azhar Abbas, Christopher Conrad and Shoaib Saleem
The use of inverse methods allow efficient model calibration. This study employs PEST to calibrate a large catchment scale transient flow model. Results are demonstrated by comparing manually calibrated approaches with the automated approach. An advanced ... see more
KuddithamGunaalan, Manjula Ranagalage, M. H. J. P. Gunarathna, M. K. N. Kumari, Meththika Vithanage, Tharmalingam Srivaratharasan, Suntharalingam Saravanan and T.W.S. Warnasuriya
Groundwater is one of the most important natural resources in the northern coastal belt of Sri Lanka, as there are no major water supply schemes or perennial rivers. Overexploitation, seawater intrusion and persistent pollution of this vital resource are ... see more
Yola Georgiadou and Diana Reckien
The emblematic intergovernmental Group of Earth Observations (GEO) sees food, water and energy security, natural hazards, pandemics of infectious diseases, sustainability of key services, poverty, and climate change as societal challenges [...]
Junli Yang, Zhiguo Jiang, Shuang Hao and Haopeng Zhang
This paper addresses the problem of contextual hyperspectral image (HSI) classification. A novel conditional random fields (CRFs) model, known as higher order support vector random fields (HSVRFs), is proposed for HSI classification. By incorporating high... see more
Yan Wang and Xin Li
The potential of multi-sensor fusion for indoor positioning has attracted substantial attention. A ZUPT/UWB data fusion algorithm based on graph optimization is proposed in this paper and is compared with the traditional fusion algorithms, which are based... see more
Karolina Lewandowska-Gwarda
The main aim of this paper is an application of Geographically Weighted Regression (which enables the identification of the variability of regression coefficients in the geographical space) in the analysis of unemployment in Poland 2015. The study is cond... see more
Yanguo Liu, Chengmin Huang, Qing Wang, Junwei Luan and Mingtao Ding
The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regions, including mountainous ethnic regions with the highest concentration of poverty and chronic poverty. Based on a sustainable livelihood Framework, five c... see more
Isabel Georg, Thomas Blaschke and Hannes Taubenböck
The delimitation of urban space is conceptually elusive and fuzzy. Commonly, urban areas are delimited through administrative boundaries. These artificial, fixed boundaries, however, do not necessarily represent the actual built-up extent, the urban catch... see more
Amin Hosseinpoor Milaghardan, Rahim Ali Abbaspour and Christophe Claramunt
Large volumes of trajectory-based data require development of appropriate data manipulation mechanisms that will offer efficient computational solutions. In particular, identification of meaningful geometric points of such trajectories is still an open re... see more
Juanle Wang, Junxiang Zhu and Xuehua Han
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Yongsai Ma, Yang Wang, Guangluan Xu and Xianqing Tai
User-generated travelogues can generate much geographic data, containing abundant semantic and geographic information that reflects people’s movement patterns. The tourist movement patterns in travelogues can help others when planning trips, or understand... see more
Duccio Rocchini
This special issue explores most of the scientific issues related to spatial ecology and its integration with geographical information at different spatial and temporal scales.[...]
Daqian Liu, Wei Song, Jia Lu, Chunyan Xie and Xin Wen
It is important to understand urban auto markets from a spatial perspective. Specifically, the question of how to simplify and visualize the relatedness of the complicated urban markets arises. Based on the concept of ‘product space’, this research explor... see more
Pawel Cybulski and Beata Medynska-Gulij
The article investigates the possibility of using cartographic redundancy to reduce the change blindness effect on spatio-temporal maps. Unlike in the case of previous research, the authors take a look at various methods of cartographic presentation and m... see more
Xiaoxiang Zhang, Jing Yao and Katarzyna Sila-Nowicka
Urban fire occurs within the built environment, usually involving casualties and economic losses, and affects individuals and socioeconomic activities in the surrounding neighborhoods. A good understanding of the spatiotemporal dynamics of fire incidents ... see more