Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem of urban acoustic contamination. Geostatistics models phenomena with spatial variation, but restricted to homogeneous prediction regions. The presence of barriers such as buildings introduces discontinuities in prediction areas. In this paper we investigate how to incorporate information of a geographical nature into the process of geostatistical prediction. In addition, we study the use of a Cost-Based distance to quantify the correlation between locations
Standard geostatistical techniques provide effective methods for estimating the global abundance and...
A datum is considered spatial if it contains locational information. Typically, there is also attrib...
Conventional geostatistical methodology solves the problem of predicting the realized value of a lin...
Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem o...
Maps representing the distribution of chemical residues over anthropogenic floors are the main diagn...
The assessment of noise sources for environmental purposes requires reliable methods for mapping. Nu...
The aim of this paper is to improve, through the application of geostatistical methods, the results...
Aim of the present study, is to identify, according to a geostatistical approach, a simple procedure...
Abstract The atmospheric influence on sound propagation along the ground sur-face is a critical issu...
A new method based on distances for modeling continuous random data in Gaussian random fields is pre...
Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomen...
Geostatistics provides an efficient tool for mapping environmental variables from observations an...
The spatial prediction/simulation of point values from areal data of the same attribute is ad-dresse...
Aim of the present study, is to identify, according to a geostatistical approach, a simple procedure...
This article proposes a geostatistical solution for area-to-point spatial prediction(downscaling) ta...
Standard geostatistical techniques provide effective methods for estimating the global abundance and...
A datum is considered spatial if it contains locational information. Typically, there is also attrib...
Conventional geostatistical methodology solves the problem of predicting the realized value of a lin...
Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem o...
Maps representing the distribution of chemical residues over anthropogenic floors are the main diagn...
The assessment of noise sources for environmental purposes requires reliable methods for mapping. Nu...
The aim of this paper is to improve, through the application of geostatistical methods, the results...
Aim of the present study, is to identify, according to a geostatistical approach, a simple procedure...
Abstract The atmospheric influence on sound propagation along the ground sur-face is a critical issu...
A new method based on distances for modeling continuous random data in Gaussian random fields is pre...
Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomen...
Geostatistics provides an efficient tool for mapping environmental variables from observations an...
The spatial prediction/simulation of point values from areal data of the same attribute is ad-dresse...
Aim of the present study, is to identify, according to a geostatistical approach, a simple procedure...
This article proposes a geostatistical solution for area-to-point spatial prediction(downscaling) ta...
Standard geostatistical techniques provide effective methods for estimating the global abundance and...
A datum is considered spatial if it contains locational information. Typically, there is also attrib...
Conventional geostatistical methodology solves the problem of predicting the realized value of a lin...