Deng H. 2005. From the Natural Landscape to the Cultural Landscape: A Historical Geography Perspective on the Evolution of Man-land Relationship in the Farming-pastoral Ecotone in the North Yanshan. Beijing: The Commercial Press, 41–106. (in Chinese)
Google Scholar
Du M H, Yan P J, Wang P T. 2015. The drought disaster and its response to the warming-dry climate in the farming-pastoral ecotones in the northern China. Journal of Arid Land Resources and Environment, 29(1): 124–128. (in Chinese)
Google Scholar
Feick R, Robertson C. 2015. A multi-scale approach to exploring urban places in geotagged photographs. Computers, Environment and Urban Systems, 53: 96–109.
Article
Google Scholar
Frias-Martinez V, Frias-Martinez E. 2014. Spectral clustering for sensing urban land use using Twitter activity. Engineering Applications of Artificial Intelligence, 35: 237–245.
Article
Google Scholar
Han Y, Hou X Y. 2011. Change, classification and management of agro-pastoral ecotone in north China. Chinese Journal of Agricultural Resources and Regional Planning, 32(5): 31–35. (in Chinese)
Google Scholar
Hou X H, Niu Z, Gao S, et al. 2013. Monitoring vegetation phenology in farming-pastoral zone using SPOT-VGT NDVI data. Transactions of the Chinese Society of Agricultural Engineering, 29(1): 142–150. (in Chinese)
Google Scholar
Hu Y J, Gao S, Janowicz K, et al. 2015. Extracting and understanding urban areas of interest using geotagged photos. Computers, Environment and Urban Systems, 54: 240–254.
Article
Google Scholar
Jankowski P, Andrienko N, Andrienko G, et al. 2010. Discovering landmark preferences and movement patterns from photo postings. Transactions in GIS, 14(6): 833–852.
Article
Google Scholar
Kisilevich S, Keim D, Rokach L. 2010. A novel approach to mining travel sequences using collections of geotagged photos. In: Painho M, Santos M Y, Pundt H. Geospatial Thinking. Berlin, Heidelberg: Springer, 163–182.
Chapter
Google Scholar
Li M M, Yan J P. 2013. The characteristics and response of climate change in farming-pastoral ecotone of North China. Journal of Arid Land Resources and Environment, 27(5): 100–106. (in Chinese)
Google Scholar
Li X, Stepchenkova S. 2012. Chinese outbound tourists’ destination image of America: part I. Journal of Travel Research, 51(3): 250–266.
Article
Google Scholar
Ma W Y, Wang X M, Zhou N, et al. 2017. Relative importance of climate factors and human activities in impacting vegetation dynamics during 2000-2015 in the Otindag Sandy Land, northern China. Journal of Arid Land, 9(4): 558–567.
Article
Google Scholar
Meng J J, Zhang Y R, Zhou P. 2010. Ecological vulnerability assessment of the farming-pastoral transitional zone in northern China: A case study of Ordos City. Journal of Desert Research, 30(4): 850–856. (in Chinese)
Google Scholar
Salton G, Buckley C. 1988. Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5): 513–523.
Article
Google Scholar
Sha Z Y, Xie Y C, Tan X C, et al. 2017. Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM). Journal of Arid Land, 9(4): 473–488.
Article
Google Scholar
Spyrou E, Mylonas P. 2016. Analyzing Flickr metadata to extract location-based information and semantically organize its photo content. Neurocomputing, 172: 114–133.
Article
Google Scholar
Steiger E, Westerholt R, Resch B, et al. 2015. Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data. Computers, Environment and Urban Systems, 54: 255–265.
Article
Google Scholar
Stepchenkova S, Zhan F Z. 2013. Visual destination images of Peru: Comparative content analysis of DMO and user-generated photography. Tourism Management, 36: 590–601.
Article
Google Scholar
Stephens M, Poorthuis A. 2015. Follow thy neighbor: Connecting the social and the spatial networks on Twitter. Computers, Environment and Urban Systems, 53: 87–95.
Article
Google Scholar
Wang F, Li W, Prominski M. 2014a. The new conflicts, strategies and explorations of urbanization and locality: Overview on the Sino-German Symposium. Geographical Research, 33(11): 2205–2014. (in Chinese)
Google Scholar
Wang J S, Jin X B, Cao X, et al. 2015. Changes of the northern limit of cultivation in northern agro-pastoral ecotone in Qing Dynasty. Journal of Arid Land Resources and Environment, 29(3): 20–25. (in Chinese)
Google Scholar
Wang X J, Zhou L H, Shi M J. 2014b. Sustainable development of a rural economy under grazing prohibition in a desertification control region and agro-pastoral transitional zone. Resources Science, 36(10): 2166–2173. (in Chinese)
Google Scholar
Weiss S M, Indurkhya N, Zhang T, et al. 2005. Text Mining: Predictive Methods for Analyzing Unstructured Information. New York: Springer, 25–35.
Book
Google Scholar
Xu J Y, Liu W H, Chang J, et al. 2010. Exploring strategies about ecological improvement based on local responses in northern agro-pastoral ecotone. Acta Ecologica Sinica, 30(22): 6126–6134. (in Chinese)
Google Scholar
Xu L, Luo W, Zhou B B. 2015. Landscape ecological risk assessment of farming-pastoral ecozone based on land use change: A case study of the Yanghe Watershed, China. Journal of Natural Resources, 30(4): 580–590. (in Chinese)
Google Scholar
Yu S X, Zhao M, Chen F Z, et al. 2010. Dynamic remote sensing monitoring and analysis on desertification in the northern farming-pastoral zone based on GIS: A case of Tongliao, Inner Mongolia. Journal of Arid Land Resources and Environment, 24(4): 107–111. (in Chinese)
Google Scholar
Zhao H L, Zhao X Y, Zhang T H, et al. 2002. Boundary line on agro-pasture zig zag zone in north China and its problems on eco-environment. Advance in Earth Sciences, 17(5): 739–747. (in Chinese)
Google Scholar
Zhao S Q. 1953. An economic geographical survey of a farming-pastoral ecozone: Caibei, Caimeng and Ximeng. Acta Geographica Sinica, 19(1): 43–60. (in Chinese)
Google Scholar
Zheng Y Y, Guo S T, Su J. 2014. The climate boundary and its change in farming-pastoral ecotone of northern China. Chinese Journal of Agricultural Resources and Regional Planning, 35(3): 6–13. (in Chinese)
Google Scholar
Zhou B L, Liu L, Oliva A, et al. 2014. Recognizing city identity via attribute analysis of geo-tagged images. In: Fleet D, Pajdla T, Schiele B, et al. Computer Vision-ECCV 2014. Cham: Springer International Publishing, 519–534.
Google Scholar
Zhou X L, Xu C, Kimmons B. 2015. Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform. Computers, Environment and Urban Systems, 54: 144–153.
Article
Google Scholar