Spatial variability refers to the differences or variations in characteristics or properties across space. In other words, it describes how a certain attribute (such as temperature, soil type, or pollution levels) changes from one location to another within a given geographical area. Understanding spatial variability is crucial in fields like environmental science, agriculture, and urban planning to make informed decisions and implement appropriate strategies.
T. S. Virdee has written: 'Effect of spatial variability in groundwater parameters on hydraulic head and flow'
David Karmeli has written: 'Assessing the spatial variability of irrigation water applications' -- subject(s): Irrigation water
Robert T McMillen has written: 'Estimating the spatial variability of trace gas deposition velocities' -- subject(s): Mathematical models, Acid deposition
Thomas Charles Lippmann has written: 'The stability and spatial variability of sand bar morphology' -- subject(s): Remote sensing, Coast changes, Marine sediments, Sand bars
Charles Jerome Worringham has written: 'Spatial variability and impact force in aiming movements' -- subject(s): Perceptual-motor processes, Sensorimotor integration, Space perception, Kinesiology
Climate variability is unknown
The usual measures of variability cannot.
Soil texture: Sampling should consider variations in soil texture (e.g., sand, silt, clay) as it affects water movement and nutrient availability. Depth: Soil sampling depth can impact nutrient distribution and root penetration, so samples should be collected from varying depths. Spatial variability: The spatial distribution of soil properties (e.g., pH, organic matter) can vary within a field, so sampling locations should be selected to capture this variability.
there is a reciprocal relationship between the spatial pattern and the spatial process.
The relationship goes in both directions. Spatial processes give rise to spatial patterns, which can be observed, whereas spatial processes themselves usually cannot; and spatial patterns create constraints on how spatial processes are realized.
Yes. The greater the range, the greater the variability.
minimizes the within-class variability while at the same time maximizing the between-class variability.