Item talk:Q143118

{

 "OpenAlex": {
   "id": "https://openalex.org/A5100710213",
   "orcid": "https://orcid.org/0000-0002-4558-3292",
   "display_name": "Weidong Li",
   "display_name_alternatives": [
     "Weidong Li",
     "LI Wei\u2010dong",
     "Weidong Li \u2010",
     "W. Li",
     "Wei\u2010Dong Li",
     "Li Weidong"
   ],
   "works_count": 277,
   "cited_by_count": 4818,
   "summary_stats": {
     "2yr_mean_citedness": 3.8,
     "h_index": 38,
     "i10_index": 95
   },
   "ids": {
     "openalex": "https://openalex.org/A5100710213",
     "orcid": "https://orcid.org/0000-0002-4558-3292"
   },
   "affiliations": [
     {
       "institution": {
         "id": "https://openalex.org/I140172145",
         "ror": "https://ror.org/02der9h97",
         "display_name": "University of Connecticut",
         "country_code": "US",
         "type": "education",
         "lineage": [
           "https://openalex.org/I140172145"
         ]
       },
       "years": [
         2024,
         2023,
         2022,
         2021,
         2020,
         2019,
         2018,
         2017,
         2016,
         2015
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I36152291",
         "ror": "https://ror.org/05sbgwt55",
         "display_name": "Henan University of Technology",
         "country_code": "CN",
         "type": "education",
         "lineage": [
           "https://openalex.org/I36152291"
         ]
       },
       "years": [
         2024,
         2023,
         2022,
         2021,
         2020,
         2019,
         2015,
         2010
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I4210094030",
         "ror": "https://ror.org/00sgtyj59",
         "display_name": "Ansteel (China)",
         "country_code": "CN",
         "type": "company",
         "lineage": [
           "https://openalex.org/I4210094030"
         ]
       },
       "years": [
         2024,
         2022
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I189210763",
         "ror": "https://ror.org/0040axw97",
         "display_name": "Yunnan University",
         "country_code": "CN",
         "type": "education",
         "lineage": [
           "https://openalex.org/I189210763"
         ]
       },
       "years": [
         2024,
         2022
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I2802497816",
         "ror": "https://ror.org/02gp4e279",
         "display_name": "Chinese Academy of Geological Sciences",
         "country_code": "CN",
         "type": "facility",
         "lineage": [
           "https://openalex.org/I2802497816"
         ]
       },
       "years": [
         2023,
         2022
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I20942203",
         "ror": "https://ror.org/03q648j11",
         "display_name": "Hainan University",
         "country_code": "CN",
         "type": "education",
         "lineage": [
           "https://openalex.org/I20942203"
         ]
       },
       "years": [
         2023,
         2022,
         2021
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I154425047",
         "ror": "https://ror.org/0160cpw27",
         "display_name": "University of Alberta",
         "country_code": "CA",
         "type": "education",
         "lineage": [
           "https://openalex.org/I154425047"
         ]
       },
       "years": [
         2023,
         2022,
         2018
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I4210130959",
         "ror": "https://ror.org/039b65w79",
         "display_name": "Mineral Resources",
         "country_code": "AU",
         "type": "facility",
         "lineage": [
           "https://openalex.org/I1292875679",
           "https://openalex.org/I2801453606",
           "https://openalex.org/I4210130959",
           "https://openalex.org/I4387156119"
         ]
       },
       "years": [
         2023
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I4210101009",
         "ror": "https://ror.org/00y3jnz30",
         "display_name": "Huaneng Clean Energy Research Institute",
         "country_code": "CN",
         "type": "facility",
         "lineage": [
           "https://openalex.org/I4210101009"
         ]
       },
       "years": [
         2023,
         2022
       ]
     },
     {
       "institution": {
         "id": "https://openalex.org/I103193709",
         "ror": "https://ror.org/00xbjad38",
         "display_name": "Adamson University",
         "country_code": "PH",
         "type": "education",
         "lineage": [
           "https://openalex.org/I103193709"
         ]
       },
       "years": [
         2023
       ]
     }
   ],
   "last_known_institutions": [
     {
       "id": "https://openalex.org/I140172145",
       "ror": "https://ror.org/02der9h97",
       "display_name": "University of Connecticut",
       "country_code": "US",
       "type": "education",
       "lineage": [
         "https://openalex.org/I140172145"
       ]
     }
   ],
   "topics": [],
   "topic_share": [],
   "x_concepts": [
     {
       "id": "https://openalex.org/C41008148",
       "wikidata": "https://www.wikidata.org/wiki/Q21198",
       "display_name": "Computer science",
       "level": 0,
       "score": 67.1
     },
     {
       "id": "https://openalex.org/C205649164",
       "wikidata": "https://www.wikidata.org/wiki/Q1071",
       "display_name": "Geography",
       "level": 0,
       "score": 60.3
     },
     {
       "id": "https://openalex.org/C33923547",
       "wikidata": "https://www.wikidata.org/wiki/Q395",
       "display_name": "Mathematics",
       "level": 0,
       "score": 54.2
     },
     {
       "id": "https://openalex.org/C86803240",
       "wikidata": "https://www.wikidata.org/wiki/Q420",
       "display_name": "Biology",
       "level": 0,
       "score": 54.2
     },
     {
       "id": "https://openalex.org/C127413603",
       "wikidata": "https://www.wikidata.org/wiki/Q11023",
       "display_name": "Engineering",
       "level": 0,
       "score": 51.6
     },
     {
       "id": "https://openalex.org/C127313418",
       "wikidata": "https://www.wikidata.org/wiki/Q1069",
       "display_name": "Geology",
       "level": 0,
       "score": 51.3
     },
     {
       "id": "https://openalex.org/C18903297",
       "wikidata": "https://www.wikidata.org/wiki/Q7150",
       "display_name": "Ecology",
       "level": 1,
       "score": 40.1
     },
     {
       "id": "https://openalex.org/C121332964",
       "wikidata": "https://www.wikidata.org/wiki/Q413",
       "display_name": "Physics",
       "level": 0,
       "score": 38.6
     },
     {
       "id": "https://openalex.org/C105795698",
       "wikidata": "https://www.wikidata.org/wiki/Q12483",
       "display_name": "Statistics",
       "level": 1,
       "score": 37.2
     },
     {
       "id": "https://openalex.org/C154945302",
       "wikidata": "https://www.wikidata.org/wiki/Q11660",
       "display_name": "Artificial intelligence",
       "level": 1,
       "score": 37.2
     },
     {
       "id": "https://openalex.org/C17744445",
       "wikidata": "https://www.wikidata.org/wiki/Q36442",
       "display_name": "Political science",
       "level": 0,
       "score": 29.6
     },
     {
       "id": "https://openalex.org/C39432304",
       "wikidata": "https://www.wikidata.org/wiki/Q188847",
       "display_name": "Environmental science",
       "level": 0,
       "score": 29.2
     },
     {
       "id": "https://openalex.org/C199539241",
       "wikidata": "https://www.wikidata.org/wiki/Q7748",
       "display_name": "Law",
       "level": 1,
       "score": 29.2
     },
     {
       "id": "https://openalex.org/C119857082",
       "wikidata": "https://www.wikidata.org/wiki/Q2539",
       "display_name": "Machine learning",
       "level": 1,
       "score": 28.9
     },
     {
       "id": "https://openalex.org/C95457728",
       "wikidata": "https://www.wikidata.org/wiki/Q309",
       "display_name": "History",
       "level": 0,
       "score": 27.4
     },
     {
       "id": "https://openalex.org/C162324750",
       "wikidata": "https://www.wikidata.org/wiki/Q8134",
       "display_name": "Economics",
       "level": 0,
       "score": 27.1
     },
     {
       "id": "https://openalex.org/C166957645",
       "wikidata": "https://www.wikidata.org/wiki/Q23498",
       "display_name": "Archaeology",
       "level": 1,
       "score": 26.7
     },
     {
       "id": "https://openalex.org/C62649853",
       "wikidata": "https://www.wikidata.org/wiki/Q199687",
       "display_name": "Remote sensing",
       "level": 1,
       "score": 25.6
     },
     {
       "id": "https://openalex.org/C15744967",
       "wikidata": "https://www.wikidata.org/wiki/Q9418",
       "display_name": "Psychology",
       "level": 0,
       "score": 24.2
     },
     {
       "id": "https://openalex.org/C185592680",
       "wikidata": "https://www.wikidata.org/wiki/Q2329",
       "display_name": "Chemistry",
       "level": 0,
       "score": 22.0
     },
     {
       "id": "https://openalex.org/C71924100",
       "wikidata": "https://www.wikidata.org/wiki/Q11190",
       "display_name": "Medicine",
       "level": 0,
       "score": 20.9
     },
     {
       "id": "https://openalex.org/C138885662",
       "wikidata": "https://www.wikidata.org/wiki/Q5891",
       "display_name": "Philosophy",
       "level": 0,
       "score": 20.6
     }
   ],
   "counts_by_year": [
     {
       "year": 2024,
       "works_count": 8,
       "cited_by_count": 584
     },
     {
       "year": 2023,
       "works_count": 15,
       "cited_by_count": 740
     },
     {
       "year": 2022,
       "works_count": 18,
       "cited_by_count": 705
     },
     {
       "year": 2021,
       "works_count": 12,
       "cited_by_count": 652
     },
     {
       "year": 2020,
       "works_count": 14,
       "cited_by_count": 443
     },
     {
       "year": 2019,
       "works_count": 14,
       "cited_by_count": 396
     },
     {
       "year": 2018,
       "works_count": 14,
       "cited_by_count": 346
     },
     {
       "year": 2017,
       "works_count": 13,
       "cited_by_count": 247
     },
     {
       "year": 2016,
       "works_count": 18,
       "cited_by_count": 190
     },
     {
       "year": 2015,
       "works_count": 20,
       "cited_by_count": 122
     },
     {
       "year": 2014,
       "works_count": 15,
       "cited_by_count": 130
     },
     {
       "year": 2013,
       "works_count": 15,
       "cited_by_count": 121
     },
     {
       "year": 2012,
       "works_count": 14,
       "cited_by_count": 91
     }
   ],
   "works_api_url": "https://api.openalex.org/works?filter=author.id:A5100710213",
   "updated_date": "2024-08-22T21:40:22.017382",
   "created_date": "2024-07-11",
   "_id": "https://openalex.org/A5100710213"
 },
 "ORCID": {
   "@context": "http://schema.org",
   "@type": "Person",
   "@id": "https://orcid.org/0000-0002-4558-3292",
   "mainEntityOfPage": "https://orcid.org/0000-0002-4558-3292",
   "givenName": "Weidong",
   "familyName": "Li",
   "alumniOf": [
     {
       "@type": "Organization",
       "name": "Marquette University",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "RINGGOLD",
         "value": "5505"
       }
     },
     {
       "@type": "Organization",
       "name": "Huazhong Agriculture University",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "RINGGOLD",
         "value": "47895"
       }
     },
     {
       "@type": "Organization",
       "name": "China Agricultural University",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "RINGGOLD",
         "value": "34752"
       }
     }
   ],
   "@reverse": {
     "creator": [
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s10596-024-10294-x",
         "name": "Sensitivity analysis of the MCRF model to different transiogram joint modeling methods for simulating categorical spatial variables",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s10596-024-10294-x"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/01431161.2021.1973687",
         "name": "Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/01431161.2021.1973687"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/01431161.2021.1931533",
         "name": "Optimization of urban land cover classification using an improved Elephant Herding Optimization algorithm and random forest classifier",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/01431161.2021.1931533"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/rs13112146",
         "name": "Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble Machine-Learning-Based Framework",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/rs13112146"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/ijgi10020044",
         "name": "Estimating the Impacts of Proximity to Public Transportation on Residential Property Values: An Empirical Analysis for Hartford and Stamford Areas, Connecticut",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/ijgi10020044"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/rs12152420",
         "name": "Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/rs12152420"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/ijgi9060350",
         "name": "Evaluation of Driving Forces of Land Use and Land Cover Change in New England Area by a Mixed Method",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/ijgi9060350"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/su12072792",
         "name": "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/su12072792"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s10596-019-09874-z",
         "name": "Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s10596-019-09874-z"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/03650340.2019.1576171",
         "name": "Predicting soil organic matter content in a plain-to-hill transition belt using geographically weighted regression with stratification",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/03650340.2019.1576171"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/rs11151774",
         "name": "Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/rs11151774"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/17538947.2018.1464073",
         "name": "Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/17538947.2018.1464073"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.compenvurbsys.2018.07.007",
         "name": "A framework of experimental transiogram modelling for Markov chain geostatistical simulation of landscape categories",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.compenvurbsys.2018.07.007"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658816.2018.1463442",
         "name": "Integrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658816.2018.1463442"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/s18082484",
         "name": "Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/s18082484"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/19475683.2018.1450786",
         "name": "Predicting land use/cover change in Long Island Sound Watersheds and its effect on invasive species: a case study for glossy buckthorn",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/19475683.2018.1450786"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/land7010031",
         "name": "Improving Object-Based Land Use/Cover Classification from Medium Resolution Imagery by Markov Chain Geostatistical Post-Classification",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/land7010031"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/su9112050",
         "name": "Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/su9112050"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.compenvurbsys.2017.03.001",
         "name": "Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.compenvurbsys.2017.03.001"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/rs9060620",
         "name": "Evaluating the Use of DMSP/OLS Nighttime Light Imagery in Predicting PM2.5 Concentrations in the Northeastern United States",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/rs9060620"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/ijgi6040108",
         "name": "Adaptive and Optimized RDF Query Interface for Distributed WFS Data",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/ijgi6040108"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/land5040044",
         "name": "Prediction of Land Use Change in Long Island Sound Watersheds Using Nighttime Light Data",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/land5040044"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.ufug.2016.06.002",
         "name": "Environmental inequities in terms of different types of urban greenery in Hartford, Connecticut",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.ufug.2016.06.002"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/land5030025",
         "name": "Analysis and Prediction of Land Use Changes Related to Invasive Species and Major Driving Forces in the State of Connecticut",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/land5030025"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.apgeog.2016.01.006",
         "name": "Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.apgeog.2016.01.006"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/ijgi4031166",
         "name": "Does the Visibility of Greenery Increase Perceived Safety in Urban Areas? Evidence from the Place Pulse 1.0 Dataset",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/ijgi4031166"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1155/2014/689482",
         "name": "County-Scale Spatial Variability of Macronutrient Availability Ratios in Paddy Soils",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1155/2014/689482"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1155/2014/750879",
         "name": "Estimating the Pollution Risk of Cadmium in Soil Using a Composite Soil Environmental Quality Standard",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1155/2014/750879"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1117/1.jrs.8.083698",
         "name": "Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1117/1.jrs.8.083698"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/10807039.2013.770352",
         "name": "Spatial Distribution and Uncertainty Assessment of Potential Ecological Risks of Heavy Metals in Soil Using Sequential Gaussian Simulation",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/10807039.2013.770352"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.ecoinf.2012.06.005",
         "name": "Assessing the risk costs in delineating soil nickel contamination using sequential Gaussian simulation and transfer functions",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.ecoinf.2012.06.005"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.ecoinf.2013.04.001",
         "name": "Assessing the spatial uncertainty in soil nitrogen mapping through stochastic simulations with categorical land use information",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.ecoinf.2013.04.001"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2136/sssaj2013.05.0177",
         "name": "Comparison of Three Methods for Soil Fertility Quality Spatial Simulation with Uncertainty Assessment",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2136/sssaj2013.05.0177"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.apgeog.2013.04.002",
         "name": "Predictive mapping of soil total nitrogen at a regional scale: A comparison between geographically weighted regression and cokriging",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.apgeog.2013.04.002"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658816.2012.747687",
         "name": "Some further clarification on Markov chain random fields and transiograms",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658816.2012.747687"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/s1002-0160(13)60036-3",
         "name": "Source Apportionment of Heavy Metals in Soils Using Multivariate Statistics and Geostatistics",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/s1002-0160(13)60036-3"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3390/ijgi2010067",
         "name": "Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3390/ijgi2010067"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1155/2013/587284",
         "name": "Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1155/2013/587284"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1111/j.1365-2389.2011.01413.x",
         "name": "Comments on \u2018An efficient maximum entropy approach for categorical variable prediction\u2019 by D. Allard, D. D'Or & R. Froidevaux",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1111/j.1365-2389.2011.01413.x"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658816.2012.673617",
         "name": "Comments on \u2018Combining spatial transition probabilities for stochastic simulation of categorical fields\u2019 with communications on some issues related to Markov chain geostatistics",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658816.2012.673617"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2747/1548-1603.49.6.915",
         "name": "Comparison of Geographically Weighted Regression and Regression Kriging for Estimating the Spatial Distribution of Soil Organic Matter",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2747/1548-1603.49.6.915"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2747/1548-1603.49.3.397",
         "name": "Effect of Land Use Types on the Spatial Prediction of Soil Nitrogen",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2747/1548-1603.49.3.397"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658816.2011.603336",
         "name": "Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658816.2011.603336"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/j.jag.2010.05.004",
         "name": "Automatic search of geospatial features for disaster and emergency management",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/j.jag.2010.05.004"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s00477-010-0389-9",
         "name": "Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s00477-010-0389-9"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658810903127991",
         "name": "Linear interpolation and joint model fitting of experimental transiograms for Markov chain simulation of categorical spatial variables",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658810903127991"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/17538940903373803",
         "name": "The framework of a geospatial semantic web-based spatial decision support system for Digital Earth",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/17538940903373803"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/13658810903240687",
         "name": "Towards logic-based geospatial feature discovery and integration using web feature service and geospatial semantic web",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/13658810903240687"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/01431160802549294",
         "name": "Restoration of clouded pixels in multispectral remotely sensed imagery with cokriging",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/01431160802549294"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1002/env.981",
         "name": "Simulating the spatial distribution of clay layer occurrence depth in alluvial soils with a Markov chain geostatistical approach",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1002/env.981"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1117/12.812831",
         "name": "<title>An interoperable spatial decision support system based on geospatial semantic web technologies</title>",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1117/12.812831"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s00477-007-0109-2",
         "name": "A comparative study of nonlinear Markov chain models for conditional simulation of multinomial classes from regular samples",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s00477-007-0109-2"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s10651-007-0045-9",
         "name": "A single-chain-based multidimensional Markov chain model for subsurface characterization",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s10651-007-0045-9"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1111/j.1475-2743.2008.00165.x",
         "name": "Regional-scale modelling of the spatial distribution of surface and subsurface textural classes in alluvial soils using Markov chain geostatistics",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1111/j.1475-2743.2008.00165.x"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.3141/2064-11",
         "name": "Transformation of Transportation Data Models from Unified Modeling Language to Web Ontology Language",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.3141/2064-11"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s11004-006-9071-7",
         "name": "A Fixed-Path Markov Chain Algorithm for Conditional Simulation of Discrete Spatial Variables",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s11004-006-9071-7"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2136/sssaj2006.0173",
         "name": "A Random-Path Markov Chain Algorithm for Simulating Categorical Soil Variables from Random Point Samples",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2136/sssaj2006.0173"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1145/1341012.1341069",
         "name": "A middle-insertion algorithm for Markov chain simulation of soil layering",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1145/1341012.1341069"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2747/1548-1603.44.3.251",
         "name": "Comparing a Fixed-Path Markov Chain Geostatistical Algorithm with Sequential Indicator Simulation in Categorical Variable Simulation from Regular Samples",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2747/1548-1603.44.3.251"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1080/01431160701250416",
         "name": "Gaps\u2010fill of SLC\u2010off Landsat ETM+ satellite image using a geostatistical approach",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1080/01431160701250416"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1007/s11004-007-9081-0",
         "name": "Markov Chain Random Fields for Estimation of\u00a0Categorical Variables",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1007/s11004-007-9081-0"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2136/sssaj2005.0132",
         "name": "Transiograms for Characterizing Spatial Variability of Soil Classes",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2136/sssaj2005.0132"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1111/j.1467-9671.2006.01017.x",
         "name": "A Generalized Markov Chain Approach for Conditional Simulation of Categorical Variables from Grid Samples",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1111/j.1467-9671.2006.01017.x"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2747/1548-1603.42.4.297",
         "name": "Application of Transiograms to Markov Chain Simulation and Spatial Uncertainty Assessment of Land-Cover Classes",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2747/1548-1603.42.4.297"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2747/1548-1603.42.1.1",
         "name": "Markov Chain Modeling of Multinomial Land-Cover Classes",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2747/1548-1603.42.1.1"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1559/152304005775194728",
         "name": "The Roles of Web Feature and Web Map Services in Real-time Geospatial Data Sharing for Time-critical Applications",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1559/152304005775194728"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.2136/sssaj2004.1479",
         "name": "Two-dimensional Markov Chain Simulation of Soil Type Spatial Distribution",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.2136/sssaj2004.1479"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1016/s0016-7061(99)00024-5",
         "name": "Markov-chain simulation of soil textural profiles",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1016/s0016-7061(99)00024-5"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1097/00010694-199709000-00009",
         "name": "APPLICATION OF THE MARKOV CHAIN THEORY TO DESCRIBE SPATIAL DISTRIBUTION OF TEXTURAL LAYERS",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1097/00010694-199709000-00009"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1109/tgrs.2011.2121916",
         "name": "A Markov Chain Geostatistical Framework for Land-Cover Classification With Uncertainty Assessment Based on Expert-Interpreted Pixels From Remotely Sensed Imagery",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1109/tgrs.2011.2121916"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1109/rsete.2011.5964519",
         "name": "Integration of categorical information of land use maps in spatial prediction of soil available Cu in Hanchuan county, China",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1109/rsete.2011.5964519"
         }
       },
       {
         "@type": "CreativeWork",
         "@id": "https://doi.org/10.1109/rsete.2011.5964581",
         "name": "Risk assessment of soil Cd exceedance in the Wuhan Donghu High-tech Developing Zone by disjunctive kriging",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "doi",
           "value": "10.1109/rsete.2011.5964581"
         }
       }
     ]
   }
 }

}