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When multi-functional landscape meets Critical Zone science:advancing multi-disciplinary research for sustainable human well-being

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National Science Review 2019年第2期6卷 349-358页

作者： Ying Luo Yihe Lü Bojie Fu Paul Harris Lianhai Wu alexis comber State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences Joint Center for Global Change Studies Rothamsted Research North Wyke School of Geography University of Leeds

Environmental degradation has become one of the major obstacles to sustainable development and human well-being internationally. Scientific efforts are being made to understand the mechanism of environmental degradation and sustainability. Critical Zone(CZ) science and research on the multi-functional landscape are emerging fields in Earth science that can contribute to such scientific efforts. This paper reviews the progress, similarities and current status of these two scientific research fields, and identifies a number of opportunities for their synergistic integration through functional and multi-functional approaches,process-based monitoring, mechanistic analyses and dynamic modeling, global long-term and networked monitoring and systematic modeling supported by scaling and deep coupling. These approaches proposed in this paper have the potential to support sustainable human well-being by strengthening a functional orientation that consolidates multi-functional landscape research and CZ science. This is a key challenge for sustainable development and human well-being in the twenty-first century.

关键词： multi-functional landscapes Critical Zone ecosystem services sustainable development human well-being

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High-performance solutions of geographically weighted regression in R

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Geo-Spatial Information Science 2022年第4期25卷 536-549页

作者： Binbin Lu Yigong Hu Daisuke Murakami Chris Brunsdon alexis comber Martin Charlton Paul Harris School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina Department of Data Science Institute of Mathematical StatisticsTokyoJapan National Centre for Geocomputation Maynooth UniversityMaynoothIreland School of Geography University of LeedsLeedsUK Sustainable Agriculture Sciences North Wyke Rothamsted ResearchOkehamptonUK

As an established spatial analytical tool,Geographically Weighted Regression(GWR)has been applied across a variety of ***,its usage can be challenging for large datasets,which are increasingly prevalent in today’s digital *** this study,we propose two high-performance R solutions for GWR via Multi-core Parallel(MP)and Compute Unified Device Architecture(CUDA)techniques,respectively GWR-MP and *** compared GWR-MP and GWR-CUDA with three existing solutions available in Geographically Weighted Models(GWmodel),Multi-scale GWR(MGWR)and Fast GWR(FastGWR).Results showed that all five solutions perform differently across varying sample sizes,with no single solution a clear winner in terms of computational ***,solutions given in GWmodel and MGWR provided acceptable computational costs for GWR studies with a relatively small sample *** a large sample size,GWR-MP and FastGWR provided coherent solutions on a Personal Computer(PC)with a common multi-core configuration,GWR-MP provided more efficient computing capacity for each core or thread than *** cases when the sample size was very large,and for these cases only,GWR-CUDA provided the most efficient solution,but should note its I/O cost with small *** summary,GWR-MP and GWR-CUDA provided complementary high-performance R solutions to existing ones,where for certain data-rich GWR studies,they should be preferred.

关键词： Non-stationarity big data parallel computing Compute Unified Device Architecture(CUDA) Geographically Weighted models(GWmodel)

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A framework for the regional critical zone classi?cation: the case of the Chinese Loess Plateau

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National Science Review 2019年第1期6卷 14-18页

作者： Yihe Lü Jian Hu Bojie Fu Paul Harris Lianhai Wu Xiaolin Tong Yingfei Bai alexis J.comber State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Joint Center for Global Change Studies Institute of Qinghai-Tibetan Plateau Southwest Minzu University Sustainable Agriculture Sciences Rothamsted Research

The concept of the Earth’s Critical Zone(CZ)—the near-surface heterogeneous environment of our planet—was originally defined to include the land surface,vegetation canopy, rivers, lakes and shallow seas [1]. CZ accommodates interactions among air, water, soil, rock and living organisms, and determines the availability of life-sustaining resources needed for the well-being and sustainability of human society. Therefore, there are new opportunities for integrative studies of

关键词： the case of the Chinese Loess Plateau CLP CZ

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The Impact of Residential and Non-Residential Demand on Location-Allocation Decision-Making: A Case Study of Modelling Suitable Locations for EMS in Leicester and Leicestershire, England UK

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Journal of Geographic Information System 2018年第4期10卷 381-397页

作者： Emeka Chukwusa alexis comber School of Geography Geology and the Environment University of Leicester Leicester UK School of Geography Leeds Institute for Data Analytics University of Leeds Leeds UK

The research examines the impact of residential and non-residential demand on facility location planning by comparing results from two location models: travel-to-work (TTW) and Residential model. The TTW model considers short-term changes in the state of the population due to travel-to-work (non-residential demand). By contrast, the Residential model uses a static snap-shot of the population based on official census estimates (residential demand). Comparison of both models was based on a case study of Emergency Medical Services (EMS) location-allocation planning problem in Leicester and Leicestershire, England, UK. Results showed that the using a static residential demand surface to plan EMS locations overestimates actual demand coverage, compared to a non-residential demand surface. Differences in location-allocation results between the models underscore the importance of accounting for temporal changes in the state of the population when planning locations for health service facilities. The findings of the study have implications for siting of EMS, designing, and planning of EMS service catchments and allocation of prospective demand to EMS sites. The study concludes that consideration of temporal changes in the state of the population is important for reliable and efficient location-allocation planning.

关键词： Location-Allocation Planning GIS Temporal Dynamics Supply and Demands

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