Work1968

A two-dimensional interpolation function for irregularly-spaced data

5,259 citations0/0 files storedACM National Conference

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Spatial and Panel Data Analysis Precipitation Measurement and Analysis Soil Geostatistics and Mapping

Abstract

In many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface. These irregularly-spaced locations, hence referred to as “data points,” may have diverse meanings: in meterology, weather observation stations; in geography, surveyed locations; in city and regional planning, centers of data-collection zones; in biology, observation locations. It is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point.

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Cited by

2006On the use of dimensioned measures of error to evaluate the performance of spatial interpolators 2017Spatial autoregressive models for statistical inference from ecological data 2003Interpolation methods for spatio-temporal geographic data 2007A comparison of approximate response functions in structural reliability analysis 2014Determinants of Spatio-Temporal Patterns of Energy Technology Adoption: An Agent-Based Modeling Approach 2012Pollution models and inverse distance weighting: Some critical remarks 2014Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification 2015Evaluating walkability: a capability-wise planning and design support system

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