1. Introduction LAND VALUE MAP AS A SOURCE OF INFORMATION ABOUT LOCAL REAL ESTATE MARKET. GEODEZJA TOM 11 Zeszyt 1/1 2005



Similar documents
Modeling Transaction Prices of Properties Based on Qualitative and Quantitative Features**

Design and Implementation of a Spatial Database for Traded Real Estate

POLISH REAL ESTATE SCIENTIFIC SOCIETY XXI KONFERENCJA TOWARZYSTWA NAUKOWEGO NIERUCHOMOŚCI STRESZCZENIA SESJA DOKTORANCKA WROCŁAW MAJ 2013

The Effect of Environmental Factors on Real Estate Value

Digital Cadastral Maps in Land Information Systems

COMPARATIVE STUDY ON ELECTRIC ENERGY LOSSES IN POLISH DISTRIBUTION SECTOR

Gouvernement du Québec Ministère de l Éducation, ISBN

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.

Nominal Asset Land Valuation Technique by GIS

03 The full syllabus. 03 The full syllabus continued. For more information visit PAPER C03 FUNDAMENTALS OF BUSINESS MATHEMATICS

Determinants of Office Space Choice

ISTANBUL DECLARATION ON CADASTRE IN THE WORLD CADASTRE SUMMIT 2015

Transformation of Land Perpetual Usufruct in Ownership Right in Poland

Spatial Data Analysis

DATA VISUALIZATION GABRIEL PARODI STUDY MATERIAL: PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS AN INTRODUCTORY TEXTBOOK CHAPTER 7

DETERMINANTS OF REAL ESTATE INVESTMENT

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Bachelor's Degree in Business Administration and Master's Degree course description

EXHIBIT A LOCATION MAP AND LAND USE INFORMATION

South Carolina College- and Career-Ready (SCCCR) Probability and Statistics

MARKETING COMMUNICATIONS EFFECTIVENESS IN POLAND LESSONS FROM THE BUSINESS IN INFORMATION SOCIETY

Crook County Assessor s Office. From The Assessor. Ratio Study

Studies of Natural Environmental Conditions for the Needs of Local Spatial Management Plans in Poland

Conducting a Land Use Inventory

Environmental Remote Sensing GEOG 2021

reviewed paper Proceedings REAL CORP 2015 Tagungsband 5-7 May 2015,Ghent, Belgium.

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

INDUSTRIAL INVESTMENT AREAS BEYOND THE ECONOMIC ACTIVITY ZONE

The Comparisons. Grade Levels Comparisons. Focal PSSM K-8. Points PSSM CCSS 9-12 PSSM CCSS. Color Coding Legend. Not Identified in the Grade Band

Additional File 1: Mapping Census Geography to Postal Geography Using a Gridding Methodology

A MODEL OF CRITERIA SYSTEM FOR EVALUATION OF RATIONALITY OF CONSTRUCTION CONTRACTS

COMMON CORE STATE STANDARDS FOR

Business Analytics and Credit Scoring

Applications of Dynamic Representation Technologies in Multimedia Electronic Map

KNOWLEDGE MANAGEMENT IN IT COMPANIES IN POLAND

Advances in the Application of Geographic Information Systems (GIS) Carmelle J. Terborgh, Ph.D. ESRI Federal/Global Affairs

Correlation key concepts:

Selected Precipitation Characteristics of Seasons in North-Eastern Poland in

The Issue Concerning the Valuation of Property Encumbered with Technical Infrastructure Equipment

What is GIS? Geographic Information Systems. Introduction to ArcGIS. GIS Maps Contain Layers. What Can You Do With GIS? Layers Can Contain Features

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May Content. What is GIS?

Mathematics B (2008) Sample assessment instrument and student responses

Prentice Hall Algebra Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009

Summary of Pacific Northwest Municipal Tree Regulations Prepared by Seattle DPD in conjunction with Sound Tree Solutions February 8, 2010

Glencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 3-3, , , 4-9

PORTOFOLIO INVESTMENT AREAS MARS FINANCE 1 SP. z o.o.

Simple Linear Regression Inference

GEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION

A guide to the compilation of Registers of Scotland statistics

Property Management System

Agricultural Property Tax Equity in North Dakota

Resolution No. 391/2008 of the Polish Financial Supervision Authority. of 17 December 2008

Objectives. Raster Data Discrete Classes. Spatial Information in Natural Resources FANR Review the raster data model

Transport demands in suburbanized locations

Virtual Met Mast verification report:

Geocoding in Law Enforcement Final Report

Future Landscapes. Research report CONTENTS. June 2005

THE IMPORTANCE OF BRAND AWARENESS IN CONSUMERS BUYING DECISION AND PERCEIVED RISK ASSESSMENT

Example G Cost of construction of nuclear power plants

CSO Modelling Considering Moving Storms and Tipping Bucket Gauge Failures M. Hochedlinger 1 *, W. Sprung 2,3, H. Kainz 3 and K.

The Impact of Management Information Systems on the Performance of Governmental Organizations- Study at Jordanian Ministry of Planning

SPATIAL ANALYSIS IN GEOGRAPHICAL INFORMATION SYSTEMS. A DATA MODEL ORffiNTED APPROACH

Chapter 111. Texas Essential Knowledge and Skills for Mathematics. Subchapter B. Middle School

Natural Resource-Based Planning*

The Trade Area of Terre Haute, Indiana

Diagrams and Graphs of Statistical Data

Engineering Problem Solving and Excel. EGN 1006 Introduction to Engineering

* Note: a cadastral system is the complete coverage of a country for purposes like taxation, whereas a land registration system is exclusively

CANNES /15 MARCH 2013 GDYNIA S OFFER PRZEMYSKA BALTIC PORT OF NEW TECHNOLOGIES GDYNIA WASZYNGTONA LOGISTICS CENTRE PORT OF GDYNIA

Assessments of Information Systems at Small and Medium-sized Enterprises in the Agri-food Sector

The Issue of Compensation for Loss of Rights to Property Plots Parcelled out for Public Roads Based on the Example of Cracow**

Crime Mapping Methods. Assigning Spatial Locations to Events (Address Matching or Geocoding)

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics

Geostatistics Exploratory Analysis

Developing Commercial Property Price Indicators

Market Prices of Houses in Atlanta. Eric Slone, Haitian Sun, Po-Hsiang Wang. ECON 3161 Prof. Dhongde

Market Analysis Best Practices: Using Submarkets for Search & Analysis. Digital Map Products Spatial Technology Made Easy

MARKETING RESEARCH AND MARKET INTELLIGENCE (MRM711S) FEEDBACK TUTORIAL LETTER SEMESTER `1 OF Dear Student

Easily Identify Your Best Customers

HMRC Tax Credits Error and Fraud Additional Capacity Trial. Customer Experience Survey Report on Findings. HM Revenue and Customs Research Report 306

ABSTRACT. Keywords: Accessibility, Greenspace, Deprivation 1- INTRODUCTION. Urban Greenspace and Provided Accessibility

(AA12) QUANTITATIVE METHODS FOR BUSINESS

THE INDUSTRIAL GROUND AT NATIONAL ROAD No 44 IN BIERUŃ

Gouvernement du Québec Ministère de l Éducation, ISBN

Rural, regional and remote health

The usage of DEM to create the 3D cadastre

TRAFFIC IMPACT ANALYSIS (TIA)

CRM Forum Resources

Spatial Analysis of the Effect of Noise on the Prices and Value of Residential Real Estates

Calculation of Minimum Distances. Minimum Distance to Means. Σi i = 1

SPATIAL DIVERSIFICATION OF FOREIGN TOURIST TRAFFIC IN POLAND

NCSS Statistical Software Principal Components Regression. In ordinary least squares, the regression coefficients are estimated using the formula ( )

Business Valuation Review

Arizona State University. Understanding the Impact of Urban Heat Island in Phoenix

AN INTRODUCTION TO REAL ESTATE INVESTMENT ANALYSIS: A TOOL KIT REFERENCE FOR PRIVATE INVESTORS

A Strategy for Teaching Finite Element Analysis to Undergraduate Students

EDUCATION KENTUCKY PROPERTY TAX COURSE DESCRIPTIONS

Methodology Estimates of the Capital Stock of Fixed Assets

GIS BASED LAND INFORMATION SYSTEM FOR MANDAL SOUM, SELENGE AIMAG OF MONGOLIA

The Application of Land Use/ Land Cover (Clutter) Data to Wireless Communication System Design

Transcription:

GEODEZJA TOM 11 Zeszyt 1/1 2005 Sabina róbek*, Rados³aw Cellmer*, Jan Kuryj* LAND VALUE MAP AS A SOURCE OF INFORMATION ABOUT LOCAL REAL ESTATE MARKET 1. Introduction A land value map can be a highly important source of information, which provides valuable information and enhances the function for various socio-economic purposes concerning the real estate management. These purposes are related to the tasks carried out by local administration bodies within this framework. In Poland, two groups of purposes can be distinguished: those related to the restructuring of the market and long-term goals associated with systematic monitoring of prices as an economic measure of land resources management. This study presents the principles and methodology of drawing up a land value map, which consists of economic layers, such as a layer of transaction price monitoring, layer of purchaser preferences, layer of uniform value zones. The drawing up process was assisted by the ArcGis 8.3 software package. In the process, particular attention was paid to the spatial analysis of the factors, which determine the prices, and value of a real estate property. The basic market elements, such as demand, supply and price which together make up a dynamic system vary in time and space. Transaction prices, and, consequently, the value of a real estate, are determined by supply and demand. Therefore, the spatial differences in real estate values are caused by spatial differences in these features. The economic characteristics of space, including the value and price of real estate, depend on physical factors and on the spatial structure of an area. These are a specific system of prevalent planning functions the manner of land development, the distances from sites which particularly attract or repel demand and the specificity of human behaviour and resulting differences in perceiving the attractiveness of particular areas. * University of Warmia and Mazury in Olsztyn, Chair of Real Estate Management and Regional Development 63

64 S. róbek, R. Cellmer, J. Kuryj 2. An analysis of factors affecting the spatial differentiation of land value in urban areas This study contains an analysis of the factors affecting the spatial differentiation of prices and value of undeveloped land real estates intended for residential building. The study deals with the local market within the boundaries of the city of Olsztyn. The source information for the study was obtained from questionnaires, a study of conditions and directions of land management of the city of Olsztyn, the official map and a site visit: The spatial arrangement of the city of Olsztyn is complex, which is a result of the natural conditions (numerous lakes and forest areas), as well as of historical factors. The central part of the city is surrounded by residential districts of blocks of flats, typical of the 1960s and 1970s, as well as residential districts of detached houses. The urban area is divided into sectors, which were created in the process of planning. The complexity of the space may have caused the differentiation in the demand for land real estates intended for residential construction. It is not easy to obtain information from people who intend to purchase a real estate property and, for this reason, the opinions of experts (represented by real estate agents from Olsztyn) were used. The study was based on the questionnaires prepared at the Chair of Real Estate Management and Regional Development of the University of Warmia and Mazury in Olsztyn, which were filled in by 19 agents with at least 2 years of work experience (of the nearly 30 agents in Olsztyn). The questions in the questionnaire dealt with the following issues: characteristics of real estates purchasers and sellers, preferences of purchasers and characteristic features of real estates, information about the transactions made at a real estate agent s office, describing the profile of a real estate agent. The research aimed at identifying the factors which affect the attractiveness of various parts of the city, which may be the basis for identifying the causes of differences between transaction prices and, in effect, of different values of real estates within the city boundaries. The data obtained from questionnaires showed that when the location of a real estate property is being chosen, it is not only the particular property that is important, its physical features and other qualities, but the image of various districts, shaped by their history, residents economic status, safety, etc. The analyses conducted to date were often restricted to a general evaluation based on the agent s knowledge of the residents opinions; such evaluations were not always supported with sufficient substantial evidence. A common set of factors was established which can be used to characterise particular districts. To each of these factors a mark of 1 to 5 scale was then attributed, depending on the effect on the location s attractiveness, with 1 meaning an adverse effect on the district image, whereas 5 indicating a very positive effect of the given factor on the district image. Analysed features should significantly affect the transaction prices of real estates in the districts in question. In order to verify this assumption, the degree of variability of transaction prices was established. The population density in a given district was adopted as an additional variable. Assuming the whole variability of prices as 100%, the analysis of correla-

Land value map as a source of information about local real estate market 65 tion was used to determine the percentage share for each feature affecting it. The results are presented in Table 1. Table 1. Degree of explaining the difference in transaction prices with the features under study Position in relation to the city centre Dominant type of buildings Technical condition of buildings Environmental conditions Public transport Technical condition of road surfaces Quiet/noisy Social infrastructure Fashion Safety Residents status Population density Degree of explaining the difference in land prices (in %) 14.39 4.05 2.78 13.53 20.09 23.30 8.26 8.26 0.08 3.17 1.46 0.65 Source: own material In the case of land real estate, access by road, public transport accessibility and the location affected the prices to the greatest extent. Whether the location was fashionable or not had the smallest effect on the price. Because of a strong correlation between particular variables which characterised particular districts, the adopted features were grouped according to their similar character. Cluster analysis was used to this end (Fig. 1). Tree diagram Single bond Euclidean distance Position in relation to the centre Public transport Technical condition of road surfaces Social infrastructure Dominant type of buildings Environmental Silence Fashion Safety Residents' status Technical condition of buildings Population density 0 2 4 6 8 10 12 14 16 Fig. 1. Results of agglomeration of particular features of districts Source: own material

66 S. róbek, R. Cellmer, J. Kuryj Based on the analysis, three groups of factors can be established which determine the advantages or disadvantage of real estates in particular districts. These are: 1) the factors associated with the position of the location in relation to the city centre (location, transport, access by road) and the level of development of the social infrastructure which is associated with it; 2) the factors associated with environmental conditions (proximity of forests and lakes); 3) the factors associated with demographic conditions and with the image (fashion, safety, residents status). a) b) Redykajny Redykajny Podle na Podle na Gutkowo Wojska Polskiego Gutkowo Wojska Polskiego Zielona Górka Zielona Górka Likusy Nad Jeziorem Dugim Zatorze Likusy Nad Jeziorem Dugim Zatorze K trzy skiego K trzy skiego Dajtki ródmie cie Pojezierze Grunwaldzkie Ko ciuszki Kormoran Podgrodzie Dajtki ródmie cie Pojezierze Grunwaldzkie Ko ciuszki Kormoran Podgrodzie Mazurskie Mazurskie Kortowo Brzeziny Nagórki Kortowo Brzeziny Nagórki Environmental conditions Highly favourable Favourable Medium Unfavourable Highly unfavourable Jaroty Pieczewo Safety level in the district Very safe district Safe district No indication Unsafe district Highly unsafe district Jaroty Pieczewo c) d) Redykajny Podleœna Redykajny Podleœna Gutkowo Wojska Polskiego Gutkowo Wojska Polskiego Zielona Górka Zielona Górka Likusy Nad Jeziorem D³ugim Zatorze Likusy Nad Jeziorem D³ugim Zatorze Kêtrzyñskiego Kêtrzyñskiego Dajtki Œródmieœcie Pojezierze Grunwaldzkie Koœciuszki Kormoran Podgrodzie Dajtki Œródmieœcie Pojezierze Grunwaldzkie Koœciuszki Kormoran Podgrodzie Kortowo Nagórki Brzeziny Mazurskie Kortowo Nagórki Brzeziny Mazurskie Pieczewo Pieczewo Jaroty Uk³ad Dominant funkcjonalno type of- buildings przestrzenny Residential buildings low-intensity development Residential buildings high-intensity development Residential and service buildings Residential and service buildings high-intensity development Service buildings Fashion and prestige of the district Highly fashionable district Districts of increasing popularity No indication Districts of decreasing popularity Unfashionable districts Jaroty Fig. 2. Visualisation of the research results concerning the selected factors affecting transaction prices: a) natural and environmental conditions; b) inhabitants safety; c) dominant type of buildings; d) fashion and prestige of the areas

Land value map as a source of information about local real estate market 67 The effect of these factors may explain the spatial differentiation of prices of land real estates intended for residential building. The research corroborates the preferences and behaviour of potential purchasers of real estate. Examples of cartographic visualisation of the results of the research are shown in Figure 2. 3. Visualising the results of real estate price and value analysis While working on the subject layer of transaction price registration, it was assumed that it should provide a user with a broad opportunity of making use of the information contained therein, particularly in conducting their own analyses which aim, e.g. at establishing a real estate price. The transaction price registration layer should enable: a graphic presentation of a real estate which is the subject of a transaction; obtaining detailed information about a transaction indicated on the map; selecting the real estate properties which were the object of trade, based on selected attribute values; presentation of the basic statistic values for selected real estates; exporting the data concerning the selected transactions. Part of the study included the calculation of the transaction price registration layer with the use of ArcGis software (Fig. 3). Fig. 3. Presentation of the basic statistic values of transaction prices for selected real estate properties Source: own study

68 S. róbek, R. Cellmer, J. Kuryj Among the many methods of graphic presentation of spatial economic effects, there are those based on the analysis of the spatial range of a particular effect, which presents its intensity in particular areas. For land values, the range can be shown in the maps with isolines of the same value or with isolated zones, where a relative uniformity of price-determining factors and, in effect, the land real estate values, are assumed (Fig. 4). LAND VALUE MAP Technological variants of compiling a value map variant I variant II ISARHYTHMIC MAP OBJECT MAP Approaches and methods INTERPOLATION METHOD ATTRIBUTIVE OBJECT METHOD MODEL APPROACH Stages I. Analysis of real estate transaction prices I. Setting the criteria of selecting uniform areas, spatial factors and the number of zones I. Monitoring of real estate market and description of transactions II. Placing pickets of real estate transaction unit prices II. Establishing and generalisation of zones, drawing on map base II. Establishing valueaffecting factors III. Interpolation of isolines of the same value III. Monitoring of real-estate market and identification of transaction III. Establishing zone range based on value-affecting factors IV. Selecting the standard real estate in a zone IV. Generalising zone boundaries on the map V. Establishing a unit value in a zone a standard appraisal V. Definition and description of typical real estates VI. Establishing a unit value in a zone real estate appraisal Contents of value map presentation of sale - uniform zones and their boundaries; a given type of real estate, Base map and scale Base map: cadastral map: Scale: 1 : 5000; 1: 10 000; 1: 25 000 Fig. 4. Technological procedure of value map compilation Source: own study

Land value map as a source of information about local real estate market 69 Another group of value maps are object maps. An area under study is divided into zones which are uniform in terms of the assumed criteria. For each zone, an analysis provides a unit value of the land. The final borderlines are significantly affected by the adopted criteria of isolating the uniform areas, which indicate the use of either an attributive or model approach. In the model approach, the establishing of areas borderlines is preceded by a market analysis, which results in establishing the market characteristics affecting the land value. Based on the selected market characteristics, the borderlines of the isolated zones are established, whereas the land value within the zone are estimated with the use of the value model, produced by the analysis. In the case of the attribute approach, the marking out of the borderlines is based on the selected attributes (features) of land real estate, with the borders adjusted after taking into account the road limits, water courses, railways, borders of urban blocks (uniform build-up) and the borders of areas and residential areas. A map is based on the assumption that isolated zones contain real estates with similar attributes, and consequently, their unit value should be similar. Part of the work on the drawing up of land value maps consists in developing a method of isolating the zones of uniform real estate, based on the attributive approach. One of the arguments in favour of adopting this approach for further analyses is the difficulty in determining the stable statistical models which would show the effect of particular factors on transaction prices. A general diagram of the concept of drawing up a land value map in the attributive approach is shown in Figure 5. Localizations attributes data Transactions data separation range and separation of zones for analyses Analysis of transaction in zones zones Defining of value for zone Fig. 5. A general diagram of the concept of drawing up a land value map in the attributive approach Source: own study The authors of the present study propose that a map of the value of land, buildings and flats should be based on a numerical cadastral 1:5000 map and generated to smaller scales down to the areas of a commune, county and province. The scope of the study should include separately each commune, within the boundaries of the evidence limits. A commune is in this case the basic unit of the study.

70 S. róbek, R. Cellmer, J. Kuryj The following were the basis for the land value map: numeric map of the city of Olsztyn, with a thematic overlay, price and real estate value register, a study of conditions and trends in the spatial planning of the city of Olsztyn, a map of the area physiographic conditions: usability as a building construction area. The following criteria of isolating uniform zones have been adopted: a position in relation to the city centre, indications of the study of conditions and trends in the spatial planning of the city of Olsztyn, land use, and development, dominating type of buildings, build-up density, environmental conditions, public transport availability. The research provided a basis for establishing the borders of the uniform zones. The results of an onsite visit and the presence of market transactions were taken into account. The course of zone borders was adjusted to the existing constant elements of the areas: transport roads, water courses, blocks of uniform build-up and the lines which separate areas of various function and use, as planned in the local spatial plan. If it is possible to adjust their borders to the above constant elements, they should be marked out along the borders of the register plots. When establishing the borders of particular zones it was established that the zones are continuous areas. The total of 63 zones have been marked out in the area of Olsztyn. The results of this operation for a part of Olsztyn are shown in Figure 6. Fig. 6. Marking out the borders of zones of similar average land value Source: own study

Land value map as a source of information about local real estate market 71 Several factors had to be taken into account in the analysis of transaction prices; the factors are important for the price levels and were not any of the criterion of isolating the uniform zones. The most important of them are: transaction date, the form of land ownership, real estate area. The analysis of transaction prices was preceded by data pre-selection which resulted in rejecting the transactions whose market character was dubious, and those for which the transaction prices considerably deviated from the average prices of similar real estates (20% of the average prices was adopted as the criterion for rejection). It was assumed during the study that the average unit value would be established as of 1st January 2004 and will concern a typical built-up land real estate, of an area size typical for a given zone, with the purpose consistent with the dominating function in the spatial plan for a given zone and which is a subject of the ownership title. The average unit value should be understood as the arithmetic mean of the transaction prices, previously adjusted for the above characteristics and rounded to 5 PLN/sq. m. Should the information about the land which is the subject of ownership titles prove insufficient, the prices of land in perpetual usufruct, re-scaled with the adjusting indexes were adopted for analysis. In order to determine the adjusting coefficient, a linear regression analysis was applied for each zone. A single adjusting coefficient was the ratio of the slope of a regression line and an arithmetic mean of transaction prices in the given zone. An example of a calculation of single coefficients for a transaction date and the area in selected zones is presented. The value of the coefficient adjusting transaction prices in relation to the passage of time in most zones was situated around 0.6% per month. In many cases, the coefficient values significantly deviated from the mean value, which could indicate the uniqueness of the zone or randomness of the transaction prices. After rejecting results which are considered dubious, the coefficient value was determined as the arithmetic mean of the results for particular zones. In most zones a unit price is negatively correlated with land area. However, the results do not seem to indicate a strong relationship between these two features. Similarly, the relationship between the unit prices of the real estates which are the subject of ownership rights and perpetual usufruct was determined. The unit prices in each zone were determined according to the following procedure: 1. selection of data and the choice of transactions based on which a unit price in the zone will be determined, 2. updating the transaction prices with regard to the transaction date, 3. adjusting the transaction prices with regard to the differences in the real estates area, 4. re-scaling the transaction prices of the real estates which are in perpetual usufruct (when the available information about the price of land the subject of ownership rights is insufficient), 5. calculating the arithmetic mean of the adjusted prices, 6. rounding the result to 5 PLN/sq. m.

72 S. róbek, R. Cellmer, J. Kuryj In the analyses, it was also taken into account that the use of mean adjusting coefficients is not justified in every zone. This applies particularly to the rapidly developing residential areas or those in which the value of a real estate is most affected by its area. In that case the coefficients calculated individually for each zone were applied. The research resulted in drawing up a map of the mean values of land in the city of Olsztyn. A part of this map is shown in Figure 7. Fig. 7. A part of a map showing land value in the city of Olsztyn Source: own study 4. Summary Dispersion of the source data in many public registers (real estate cadaster, perpetual registers, tax records, statistical records) makes it difficult to carry out more comprehensive analyses of the real estate market. Information in various forms, including maps, processed and sent by various means, e.g. via the Internet, is awaited by many users. In Poland, the need has been seen and attempts are underway to meet it. Nowadays, in this age of rapid information technology development and software solutions, it is not a problem to process the gathered data, but rather to obtain them and evaluate their usefulness. Hence, much attention is devoted in this study to the system of monitoring the real estate market. The market, which in many segments is in an initial stage and frequently lacks balance, is not easily described with mathematical formulae. For some time, scientific discussions have been conducted on statistical modelling of the market and explaining the cause-and-effect relationships. The manner of cartographic representation of the effects taking place in the real estate market can contribute to the progress in the analysis of the preferences of real estate purchasers and in the creation of a system of collecting, processing the data concerning the prices and value of real estate and making such data available to those interested.

Land value map as a source of information about local real estate market 73 References [1] Appraisal of Real Estate. Chicago, Appraisal Institute 1980 [2] Fanning S., Grissom T., Pearson T.: Market Analysis for Valuation Appraisals. Chicago, Appraisal Institute 1994 [3] Grygorenko W.: Redakcja i opracowanie map ogólnogeograficznych. Warszawa, PPWK 1970 [4] Kucharska-Stasiak E.: Nieruchomoœæ a rynek. Warszawa, Wydawnictwo Naukowe PWN 1999 [5] McDonald M., Dunbar I.: Market Segmentation. Palgrave Publishers Ltd. 1998 [6] Mruk H. (red.): Analiza rynku. Warszawa, Polskie Wydawnictwo Ekonomiczne 2003 [7] Mynarski S. (red.): Badania przestrzenne rynku i konsumpcji. Warszawa, PWN 1992