Name
Abstract | ||
|---|---|---|
The density and distribution of spatial samples heavily affect the precision and reliability of estimated population attributes. An optimization method based on Mean of Surface with Nonhomogeneity (MSN) theory has been developed into a computer package with the purpose of improving accuracy in the global estimation of some spatial properties, given a spatial sample distributed over a heterogeneous surface; and in return, for a given variance of estimation, the program can export both the optimal number of sample units needed and their appropriate distribution within a specified research area. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.envsoft.2010.10.006 | Environmental Modelling & Software |
Keywords | Field | DocType |
Spatial sampling,Nonhomogeneous surface,Variance of estimation,Particle swarm optimization | Particle swarm optimization,Population,Mathematical optimization,Computer science,Sampling (statistics) | Journal |
Volume | Issue | ISSN |
26 | 4 | 1364-8152 |
Citations | PageRank | References |
7 | 1.03 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mao-Gui Hu | 1 | 38 | 7.73 |
| Jin-Feng Wang | 2 | 186 | 28.86 |