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| 1 | Using a GIS- based network analysis to determine urban greenspace accessibili ty for different ethnic and religious groups显示文摘 | Alexis Comber Chris Brunsdon Edmund Green | 2008 | Landscape and Urban Planning2008，，86： | 1 |
| 2 | Association between Physical Activity and Neighborhood Environment among Middle-Aged Adults in Shanghai显示文摘 | Rena Zhou Yang Li Masahiro Umezaki Yongming Ding Hongwei Jiang Alexis Comber Hua Fu Chris Rissel | 2013 | Journal of Environmental and Public Health2013，，： | 1 |
| 3 | Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups显示文摘 | COMBER ALEXIS BRUNSDON CHRIS GREEN EDMUND | 2008 | Landscape and Urban Planning2008，86，1： | 1 |
| 4 | Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups显示文摘 | Alexis Comber Chris Brunsdon Edmund Green | 2008 | Landscape and Urban Planning2008，，1： | 1 |
| 5 | High-performance solutions of geographically weighted regression in R显示文摘As an established spatial analytical tool,Geographically Weighted Regression(GWR)has been applied across a variety of disciplines.However,its usage can be challenging for large datasets,which are increasingly prevalent in today’s digital world.In 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 GWR-CUDA.We 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 efficiency.Specifically,solutions given in GWmodel and MGWR provided acceptable computational costs for GWR studies with a relatively small sample size.For 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 FastGWR.For 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 samples.In 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. | Binbin Lu Yigong Hu Daisuke Murakami Chris Brunsdon Alexis Comber Martin Charlton Paul Harris | 2022 | Geo-Spatial Information Science2022，25，4： | 1 |
| 6 | Using a GIS-based Network Analysis to Determine Urban Greenspace Accessibility for Different Ethnic and Religious Groups 显示文摘 | Alexis Comber Chris Brunsdon Edmund Green | 2008 | Landscape and Urban Planning2008，，1： | 1 |
| 7 | A comparison of fuzzy AHP and ideal point methods for evaluation land suitability显示文摘 | Mukhtai Elaalem Alexis Comber Pete Fisher | 2011 | Transactions in GIS2011，15，3： | 1 |
| 8 | When multi-functional landscape meets Critical Zone science:advancing multi-disciplinary research for sustainable human well-being显示文摘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. | Ying Luo Yihe Lü Bojie Fu Paul Harris Lianhai Wu Alexis Comber | 2019 | National Science Review2019，6，2： | 0 |
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