Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods.
Ping YanKairong LinYiren WangXinjun TuChunmei BaiLuobin YanPublished in: ISPRS Int. J. Geo Inf. (2021)
Keyphrases
- statistical methods
- influencing factors
- spatial analysis
- spatial data
- geographic information systems
- gis data
- geo spatial
- geographical information systems
- economic development
- spatial databases
- geographical data
- statistical analysis
- spatial data mining
- computational methods
- spatial reasoning
- geographic information
- biological data
- self organizing maps
- river basin
- machine learning methods
- geo referenced
- geographic data
- machine learning
- risk factors
- statistical models
- government performance evaluation
- neural network
- data mining techniques
- water resources
- spatial objects
- remote sensing
- environmental sciences
- spatial relationships
- databases
- data warehouse
- statistical tests
- statistical approaches
- k means
- data analysis
- spatial clustering
- risk assessment
- spatial queries
- spatial location
- statistical inference
- statistical analyses
- geospatial data
- bayesian networks
- image segmentation
- data mining
- puts forward