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A Method of DTM Construction Based on Quadrangular Irregular Networks and Related Error Analysis.

Kang M, Wang M, Du Q - PLoS ONE (2015)

Bottom Line: The results indicate that the QIN method is the most accurate method tested.The difference in accuracy rank seems to be caused by the locations of the data points sampled.Although the QIN method has drawbacks, it is an alternative method for DTM construction.

View Article: PubMed Central - PubMed

Affiliation: School of Resource and Environment Science, Wuhan University, Wuhan 430079, China; Key laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China.

ABSTRACT
A new method of DTM construction based on quadrangular irregular networks (QINs) that considers all the original data points and has a topological matrix is presented. A numerical test and a real-world example are used to comparatively analyse the accuracy of QINs against classical interpolation methods and other DTM representation methods, including SPLINE, KRIGING and triangulated irregular networks (TINs). The numerical test finds that the QIN method is the second-most accurate of the four methods. In the real-world example, DTMs are constructed using QINs and the three classical interpolation methods. The results indicate that the QIN method is the most accurate method tested. The difference in accuracy rank seems to be caused by the locations of the data points sampled. Although the QIN method has drawbacks, it is an alternative method for DTM construction.

No MeSH data available.


Location and topography of Midu County.
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pone.0127592.g011: Location and topography of Midu County.

Mentions: 1209 elevation data points (Fig 10A) taken as original points and 6209 check points (Fig 10B) were randomly taken from a 1:50000 contour map to construct a DTM using QIN method, TIN method, SPLINE and KRIGING. The errors about these methods were comparatively analysed. The study area is located in Midu County, in the centre of Yunnan Province, China (Fig 11). The elevation ranges from 0 to 2620 meters and is suitable for a comparative study of DTM accuracy.


A Method of DTM Construction Based on Quadrangular Irregular Networks and Related Error Analysis.

Kang M, Wang M, Du Q - PLoS ONE (2015)

Location and topography of Midu County.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4440715&req=5

pone.0127592.g011: Location and topography of Midu County.
Mentions: 1209 elevation data points (Fig 10A) taken as original points and 6209 check points (Fig 10B) were randomly taken from a 1:50000 contour map to construct a DTM using QIN method, TIN method, SPLINE and KRIGING. The errors about these methods were comparatively analysed. The study area is located in Midu County, in the centre of Yunnan Province, China (Fig 11). The elevation ranges from 0 to 2620 meters and is suitable for a comparative study of DTM accuracy.

Bottom Line: The results indicate that the QIN method is the most accurate method tested.The difference in accuracy rank seems to be caused by the locations of the data points sampled.Although the QIN method has drawbacks, it is an alternative method for DTM construction.

View Article: PubMed Central - PubMed

Affiliation: School of Resource and Environment Science, Wuhan University, Wuhan 430079, China; Key laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China.

ABSTRACT
A new method of DTM construction based on quadrangular irregular networks (QINs) that considers all the original data points and has a topological matrix is presented. A numerical test and a real-world example are used to comparatively analyse the accuracy of QINs against classical interpolation methods and other DTM representation methods, including SPLINE, KRIGING and triangulated irregular networks (TINs). The numerical test finds that the QIN method is the second-most accurate of the four methods. In the real-world example, DTMs are constructed using QINs and the three classical interpolation methods. The results indicate that the QIN method is the most accurate method tested. The difference in accuracy rank seems to be caused by the locations of the data points sampled. Although the QIN method has drawbacks, it is an alternative method for DTM construction.

No MeSH data available.