2011
DOI: 10.1080/14498596.2011.623348
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The Inverse Distance Weighted interpolation method and error propagation mechanism – creating a DEM from an analogue topographical map

Abstract: Interpolation procedures are widely used in science, especially in sciences that involve spatial data and continuous phenomena that can be depicted on a continuous spatial surface. Interpolation makes use of accurate and qualitative sampling data in order to produce a continuous representation of the phenomenon in question. The accuracy of the data used for interpolation directly affects the results. This research examines error propagation within the Inverse Distance Weighted (IDW) method, applied as a means … Show more

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Cited by 83 publications
(47 citation statements)
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References 20 publications
(17 reference statements)
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“…IDW interpolation defines cell values using a weighted combination of a set of sample points. The weight is a function of the inverse distance (Achilleos, 2011). In this research, the IDW method was run through the ArcGIS 10.2 software and the second-order IDW method.…”
Section: Inverse Distance Weighted (Idw) Methods For Zoningmentioning
confidence: 99%
“…IDW interpolation defines cell values using a weighted combination of a set of sample points. The weight is a function of the inverse distance (Achilleos, 2011). In this research, the IDW method was run through the ArcGIS 10.2 software and the second-order IDW method.…”
Section: Inverse Distance Weighted (Idw) Methods For Zoningmentioning
confidence: 99%
“…IDW provides satisfactory results when the number of elevation points in an area is large and the points are uniformly distributed. Also, the known sample points are implicit to be self-governing from each other [ [9] , [10] , [11] ]. Generally, interpolation helps to predict the cell values in a pattern format using a given number of sample data.…”
Section: Methods Detailsmentioning
confidence: 99%
“…Jadi semakin dekat jarak antara titik sampel dan titik yang akan diestimasi maka semakin besar bobotnya, begitu juga sebaliknya. Metode ini telah berhasil dimanfaatkan untuk interpolasi pada data spasial [28,29,30] dan liniasi [31].…”
Section: Metode Inverse Distanceunclassified