Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Liang-Jun Zhu"'
Publikováno v:
Annals of GIS, Vol 30, Iss 4, Pp 535-549 (2024)
Spatial prediction software is a valuable tool for predicting the spatial distribution of geographic variables and have a wide applicability with numerous non-expert users. However, as the input data to spatial prediction tasks gets more various in s
Externí odkaz:
https://doaj.org/article/7590afee47524fd79356a83bda31ddd5
Autor:
Yi-Jie Wang, Cheng-Zhi Qin, Peng Liang, Liang-Jun Zhu, Zi-Yue Chen, Cheng-Long Wu, A-Xing Zhu
Publikováno v:
Annals of GIS, Vol 30, Iss 2, Pp 199-214 (2024)
ABSTRACTSpatial prediction is essential for obtaining the spatial distribution of geographic variables and selecting appropriate covariates for this process can be challenging, especially for non-expert users. For easing the burden of selecting the a
Externí odkaz:
https://doaj.org/article/0086c3b8d509418ca3d3b2dce8913e4c
Publikováno v:
Geoderma, Vol 439, Iss , Pp 116683- (2023)
Digital soil mapping (DSM) based on environmental similarity may be used to predict the soil properties at unvisited locations based on the soil–environment relationship at each sample locations, which is more suitable for large-area (or regional s
Externí odkaz:
https://doaj.org/article/27bbcfb4ad5d412fa9df0d225204c3b3
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 102986- (2022)
The effective use of environmental covariates in characterizing soil–environment relationships is key to successful digital soil mapping. The typical way to use environmental covariates in digital soil mapping is by selecting diverse environmental
Externí odkaz:
https://doaj.org/article/6bbbfffedfb949149237c5aed4ade2c3
Publikováno v:
Water Resources Research.
Optimizing the spatial configuration of diverse best management practices (BMPs) can provide valuable decision-making support for comprehensive watershed management. Most existing methods focus on selecting BMP types and locations but neglect their i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3a5cf4906eba4db0a1415521678bdcf
https://doi.org/10.1029/2022wr032986
https://doi.org/10.1029/2022wr032986
Autor:
Junzhi Liu, Pengcheng Fang, Yefeng Que, Liang-Jun Zhu, Zheng Duan, Guoan Tang, Pengfei Liu, Mukan Ji, Yongqin Liu
The management and conservation of lakes should be conducted in the context of catchments because lakes collect water and materials from their upstream catchments. Thus, the datasets of catchment-level characteristics are essential for limnology stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eba2c7e0bf67f7189c9fe8e0bbaeffa1
https://essd.copernicus.org/articles/14/3791/2022/
https://essd.copernicus.org/articles/14/3791/2022/
Publikováno v:
Journal of Hydrology. 619:129281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f755e140bea99eeac70717c910d541
https://doi.org/10.1016/j.jhydrol.2023.129281
https://doi.org/10.1016/j.jhydrol.2023.129281
Publikováno v:
Progress in Physical Geography: Earth and Environment. 45:207-227
Spatial optimization of watershed best management practice (BMP) scenarios based on watershed modeling is an effective decision support tool for watershed management. During such optimization, existing types of BMP configuration units for configuring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1a48a787baa6d6442943ad0a1bc3783
https://doi.org/10.1177/0309133320939002
https://doi.org/10.1177/0309133320939002
Publikováno v:
Progress in Geography. 38:1111-1122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe91206bdae7aa3bc61ba5277b958a4d
https://doi.org/10.18306/dlkxjz.2019.08.001
https://doi.org/10.18306/dlkxjz.2019.08.001
Publikováno v:
Chinese Journal of Plant Ecology. 43:1061-1078
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d79e3004f20e4a5e80c11eea973ad31d
https://doi.org/10.17521/cjpe.2019.0257
https://doi.org/10.17521/cjpe.2019.0257