The main aim of spatial sampling is to collect samples in 1-, 2-or 3-dimensional space. It is
typically used to estimate the total or mean for a parameter in an area, to optimize parameter …

空间内插可以分为几何方法, 统计方法, 空间统计方法, 函数方法, 随机模拟方法,
物理模型模拟方法和综合方法. 介绍了每一种方法的适用范围, 算法和优缺点 …

Geographic information systems (GIS) are having tremendous impacts on many scientific
and application domains. The traditional subfield of spatial analysis is witnessing a major …

This paper introduces the extended Spatial Simulated Annealing (SSA) method to optimise
spatial sampling schemes for obtaining the minimal kriging variance. Sampling schemes are …

In geostatistics, spatial autocorrelation is utilized to estimate optimally local values from data
sampled elsewhere. The powerful synergy between geostatistics and remote sensing went …

One of the major sources of uncertainty associated with geographical data in GIS arises
when they are the outcome of a sampling process. It is well known that when sampling from …

Detailed forest ecosystem classifications have been developed for large regions of northern
Ontario, Canada. These ecosystem classifications provide tools for ecosystem management …

Spatial interpolation can be classified in accordance with their basic hypotheses and
mathematical natures as: geometric method, statistical method, geostatistical method …

Prior to acquiring remotely sensed imagery with which to map land cover investigators may
wish to select an appropriate spatial resolution. Previously, statistics such as the local …

With the proliferation of mobile devices, large collections of geospatial data are becoming
available, such as geo-tagged photos. Map rendering systems play an important role in …