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.
Keywords
Interpolation (computer graphics)Altitude (triangle)GeographyMeteorologyPoint (geometry)Function (biology)GeodesyRemote sensingGeologyComputer scienceMathematicsGeometryTelecommunications
Related Publications
Altitudinal distribution of several eucalypt species in relation to other environmental factors in southern New South Wales
Abstract Four problems associated with studying the altitudinal distribution of eucalypt species are examined: the lack of specific physiological relationship between altitude a...
Very high resolution interpolated climate surfaces for global land areas
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The c...
Comparison of six methods for the interpolation of daily, European climate data
We compare versions of six interpolation methods for the interpolation of daily precipitation, mean, minimum and maximum temperature, and sea level pressure from station data ov...
Climatologically aided interpolation (CAI) of terrestrial air temperature
Abstract A new and relatively straightforward approach to interpolating and spatially averaging air temperature from weather‐station observations is introduced and evaluated usi...
1 km monthly temperature and precipitation dataset for China from 1901 to 2017
Abstract. High-spatial-resolution and long-term climate data are highly desirable for understanding climate-related natural processes. China covers a large area with a low densi...
Publication Info
- Year
- 1968
- Type
- article
- Pages
- 517-524
- Citations
- 4812
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
4812
OpenAlex
402
Influential
2885
CrossRef
Cite This
Donald S. Shepard
(1968).
A two-dimensional interpolation function for irregularly-spaced data.
Proceedings of the 1968 23rd ACM national conference on -
, 517-524.
https://doi.org/10.1145/800186.810616
Identifiers
- DOI
- 10.1145/800186.810616