Data derived from property markets have spatial character, no doubt about it, thus treating them with methods taking into account property location and so called “neighborhood influence “ seem to be natural. In this paper we present a step by step algorithm for two of many geostatistical methods of spatial prediction which can find their application in property market analysis. As an exemplification of theoretical consideration, authors calculated particular problem and made it available on the website. It is worth noting that carrying out all the computations without dedicated software is very time consuming and might cause a headache. Authors implemented all the algorithms in one computer application and encourage for testing it simultane...
There is an identifiable theoretical relationship between the comparable sales method (CSM) of valua...
This paper compares alternative methods for taking spatial dependence into account in house price pr...
An accurate prediction to the housing prices is very important to all the real estate market partici...
In the traditional approach, geostatistical modeling involves analyses of the spatial structure of r...
The paper presents spatial statistics tools in application to real estate data, including geostatist...
In the study of variables affecting the determination of property prices, the spatial component is ...
This paper compares the impacts of alternative models of spatial dependence on the accuracy of house...
This paper compares alternative methods of controlling for the spatial dependence of house prices in...
This paper compares alternative methods of controlling for the spatial dependence of house prices in...
This paper provides a new model to explain local variation in apartment rents by introducing the not...
The patterns and relations between real estate prices and the factors which shape them can be presen...
This paper provides a new model to explain local variation in apartment rents by introducing the not...
In the study of variables affecting the determination of property prices, the spatial component is p...
This paper compares alternative methods for taking spatial dependence into account in house price pr...
We analyze the impacts of alternative submarket definitions when predicting house prices in a mass a...
There is an identifiable theoretical relationship between the comparable sales method (CSM) of valua...
This paper compares alternative methods for taking spatial dependence into account in house price pr...
An accurate prediction to the housing prices is very important to all the real estate market partici...
In the traditional approach, geostatistical modeling involves analyses of the spatial structure of r...
The paper presents spatial statistics tools in application to real estate data, including geostatist...
In the study of variables affecting the determination of property prices, the spatial component is ...
This paper compares the impacts of alternative models of spatial dependence on the accuracy of house...
This paper compares alternative methods of controlling for the spatial dependence of house prices in...
This paper compares alternative methods of controlling for the spatial dependence of house prices in...
This paper provides a new model to explain local variation in apartment rents by introducing the not...
The patterns and relations between real estate prices and the factors which shape them can be presen...
This paper provides a new model to explain local variation in apartment rents by introducing the not...
In the study of variables affecting the determination of property prices, the spatial component is p...
This paper compares alternative methods for taking spatial dependence into account in house price pr...
We analyze the impacts of alternative submarket definitions when predicting house prices in a mass a...
There is an identifiable theoretical relationship between the comparable sales method (CSM) of valua...
This paper compares alternative methods for taking spatial dependence into account in house price pr...
An accurate prediction to the housing prices is very important to all the real estate market partici...