What is geostatistical analysis?

Geostatistics is a class of statistics used to analyze and predict the values associated with spatial or spatiotemporal phenomena. In the environmental sciences, geostatistics is used to estimate pollutant levels in order to decide if they pose a threat to environmental or human health and warrant remediation.

What is spatial data analysis?

Spatial analysis is a process in which you model problems geographically, derive results by computer processing, and then explore and examine those results. Several fundamental spatial analysis workflows form the heart of spatial analysis: spatial data exploration, modeling with GIS tools, and spatial problem solving.

What is a geostatistical model?

Geostatistics is a set of models and tools developed for statistical analysis of continuous data. These data can be measured at any location in space, but they are available in a limited number of sampled points. If data are not stationary, they need to be made so, usually by data detrending and data transformation.

What is ArcGIS geostatistical Analyst?

The ArcGIS Geostatistical Analyst extension provides the capability for surface modeling using deterministic and geostatistical methods. The Geostatistical Wizard (also accessed through the toolbar) leads analysts through the process of creating and evaluating an interpolation model.

What is spatial analysis used for?

Spatial analysis allows you to solve complex location-oriented problems and better understand where and what is occurring in your world. It goes beyond mere mapping to let you study the characteristics of places and the relationships between them. Spatial analysis lends new perspectives to your decision-making.

What are examples of spatial analysis?

An Example of Spatial Analysis

  • Understanding where things are or where events occur.
  • Measuring sizes, shapes, and distributions of things or measurements.
  • Analyzing relationships and interactions between places.
  • Optimizing locations for facilities, or routes for transportation.

What are the types of spatial analysis?

Six types of spatial analysis are queries and reasoning, measurements, transformations, descriptive summaries, optimization, and hypothesis testing. Uncertainty enters GIS at every stage. It occurs in the conception or definition of spatial objects.

How important is geostatistics as a tool in spatial Modelling?

Geostatistics is used to predict and analyze the values linked with spatiotemporal or spatial processes. Geostatistical methods are mostly used to explain spatial patterns and interpolate values for those locations from which samples were not taken.

What is kriging method?

Kriging is a geostatistical interpolation technique that considers both the distance and the degree of variation between known data points when estimating values in unknown areas (Fig. 3.8). Kriging is a multistep process.

What are some examples of spatial analysis?

Measuring sizes, shapes, and distributions of things or measurements. Analyzing relationships and interactions between places. Optimizing locations for facilities, or routes for transportation. Detecting and quantifying patterns and relationships between things or measurements.

What are the two spatial models?

There are two broad categories of spatial data models. These are vector data model and raster data models.

How is geostatistical data used to compare different disciplines?

The web search of scientific articles from the Web of Science databases has been used to compare different disciplines [19]; web archives from Google Scholar have been employed for the same purpose [20]. Geostatistical data from ISI-Web of Science, Scopus and Google Scholar have been compared by Hengl et al. [21].

How is geostatistics used in the real world?

Geostatistics provides an advanced methodology which facilitates quantification of the spatial features of soil parameters and enables spatial interpolation (Zhang and Selinus, 1998; Hengl et al., 2009; Carlon et al., 2001). It has become a useful tool for the study of spatial uncertainty and hazard assessment (Goovaerts, 2001).

How to do a bibliometric analysis of geostatistics?

The bibliometric indices of the scientific field of geostatistics were analyzed using statistical and spatial data analysis. The publications and their citation statistics were obtained from the Web of Science (4000 most relevant), Scopus (2000 most relevant) and Google Scholar (5389).

How is spatial analysis used in citation studies?

Spatial analysis approaches have been long since adopted in citation studies. For instance, already in the early eighties, two works relied on input-output matrices to delve into citation transactions among journals (Noma, 1982; Price, 1981).