Next Article in Journal
Quantifying Efficiency of Sliding-Window Based Aggregation Technique by Using Predictive Modeling on Landform Attributes Derived from DEM and NDVI
Next Article in Special Issue
LADM Based Utility Network Cadastre in Serbia
Previous Article in Journal
Dynamic Wildfire Navigation System
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle

Application of Hierarchical Spatial Autoregressive Models to Develop Land Value Maps in Urbanized Areas

Institute of Geospatial Engineering and Real Estate, University of Warmia and Mazury in Olsztyn, Prawocheńskiego 15, 10-720 Olsztyn, Poland
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(4), 195;
Received: 26 February 2019 / Revised: 28 March 2019 / Accepted: 19 April 2019 / Published: 23 April 2019
(This article belongs to the Special Issue Applications of GIScience for Land Administration)
PDF [10808 KB, uploaded 26 April 2019]


This article aims at testing the possibilities of applying hierarchical spatial autoregressive models to create land value maps in urbanized areas. The use of HSAR (Hierarchical Spatial Autoregressive) models for spatial differentiation of prices in the property market supports the multilevel diagnosis of the structure of this phenomenon, taking into account the effect of spatial interactions. The article applies a two-level hierarchical spatial autoregressive model, which will permit the evaluation of interactions and control spatial heterogeneity at two levels of spatial aggregation (general and detailed). The results of the research include both the evaluation of the impact of location on prices (taking into account non-spatial factors) and the creation of the average land price map, taking into consideration the spatial structure of the city. In empirical studies, the HSAR model was compared with classic LM (Linear Model), HLM (Hierarchical Linear Model), and SAR (Spatial Autoregressive) models to perform comparative analyses of the results. View Full-Text
Keywords: hierarchical models; land value maps; spatial interactions hierarchical models; land value maps; spatial interactions

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Cellmer, R.; Kobylińska, K.; Bełej, M. Application of Hierarchical Spatial Autoregressive Models to Develop Land Value Maps in Urbanized Areas. ISPRS Int. J. Geo-Inf. 2019, 8, 195.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top