A spatial sampling optimization package using MSN theory

نویسندگان

  • Mao-Gui Hu
  • Jinfeng Wang
چکیده

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. 2010 Elsevier Ltd. All rights reserved. Software availability Software name: MSN Spatial Sampling Optimization Developers: Mao-Gui Hu and Jin-Feng Wang Contact: [email protected] Available since: December 2009 Operating system: 32-bit Windows Program language: Cþþ, C# Availability: free from http://www.sssampling.org/msn

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عنوان ژورنال:
  • Environmental Modelling and Software

دوره 26  شماره 

صفحات  -

تاریخ انتشار 2011