Search Results - Hamm, Nicholas A.S.

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  1. 1
    ELSA: a new local indicator for spatial association

    ELSA: a new local indicator for spatial association by Hamm, Nicholas A.S., Naimi, Babak, Groen, Thomas

    Published 2021
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  2. 2
    Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output

    Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output by Raj, Rahul, Tol, Christiaan van der, Hamm, Nicholas A.S, Stein, Alfred

    Published 2018
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  3. 3
    Analysis of the relationship between scintillation parameters, multipath and ROTI

    Analysis of the relationship between scintillation parameters, multipath and ROTI by Li, Chendong, Craig, Craig M., Hamm, Nicholas A. S., Veettil, Sreeja V., You, Chong

    Published 2020
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  4. 4
    Unbalanced development characteristics and driving mechanisms of regional urban spatial form: a case study of Jiangsu Province, China

    Unbalanced development characteristics and driving mechanisms of regional urban spatial form: a case study of Jiangsu Province, China by Xiong, Xiong, Cao, Xin, Hamm, Nicholas A.S., Lin, Tao, Zhang, Guoqin, Chen, Binghong

    Published 2021
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  5. 5
    Integrating remote sensing and geospatial big data for urban land use mapping: a review

    Integrating remote sensing and geospatial big data for urban land use mapping: a review by Yin, Jiadi, Dong, Jinwei, Hamm, Nicholas A.S., Li, Zhichao, Wang, Jianghao, Xing, Hanfa, Fu, Ping

    Published 2021
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  6. 6
    ELSA: Entropy-based local indicator of spatial association

    ELSA: Entropy-based local indicator of spatial association by Naimi, Babak, Hamm, Nicholas A.S., Groen, Thomas, Skidmore, Andrew K., Toxopeus, Albertus G., Alibakhshi, Sara

    Published 2019
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  7. 7
    Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping

    Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping by Yin, Jiadi, Fu, Ping, Hamm, Nicholas A.S., Li, Zhichao, You, Nanshan, He, Yingli, Cheshmehzangi, Ali, Dong, Jinwei

    Published 2021
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  8. 8
    A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information

    A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information by Chen, Gongbo, Li, Shanshan, Knibbs, Luke D., Hamm, Nicholas A.S., Cao, Wei, Li, Tiantian, Guo, Jianping, Ren, Hongyan, Abramson, Michael J., Guo, Yuming

    Published 2018
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  9. 9
    Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China

    Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China by Cadavid Restrepo, Angela M., Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Barnes, Tamsin S., Williams, Gail M., Soares Magalhães, Ricardo J., Hamm, Nicholas A.S, Clements, Archie C.A.

    Published 2018
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