scholarly journals IMPROVING THE COORDINATE BASIS OF SPATIAL DATA OF THE UNIFIED STATE REAL ESTATE REGISTER

Author(s):  
Aleksey M. Portnov ◽  
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Gleb I. Zagrebin ◽  
Zhenfeng Shao ◽  
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...  
2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Bashkim Idrizi

Abstract. The state Coordinate Reference System (CRS) of the Republic of North Macedonia (RNM) has been established a century ago, by the Military Geographic Institute of the Yugoslavia Kingdom. It is in official usage entire period up to day. In international public EPSG registry of geodetic datums, spatial reference systems, Earth ellipsoids, coordinate transformations and related units of measurement, CRS for RNM is recognizable within 3 EPSG codes 6204, 6316 and 8679.First code EPSG 6204 represents current state CRS for the entire country area, based on current law, however unfortunately this CRS is official by the law but it is not used for developing the official spatial data published in geoportals of Agency for Real Estate Cadastre (AREC) and NSDI geoportal of RNM. The second code EPSG 6316 is defined to be used for 6 countries of former Yugoslavia that covers area between 19.5°E up to 22.5°E longitude, which does not correspond with the practical and official usage of CRS for working with spatial data in RNM and CRS law definition in RNM. Third code EPSG 8679 has never been used in RNM, which covers eastern part of RNM and Serbia beginning from 22.5°E.Beside of problems with EPSG codes, default transformation parameters of EPSG 6316 have low accuracy and can not be used for data overlapping with open layers. Therefore, redefined new EPSG codes for state CRS of RNM are proposed in this paper.


2021 ◽  
pp. 11-21
Author(s):  
K.I. Kuzevanov ◽  
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E.Yu. Pasechnik ◽  
L.N. Chilinger ◽  
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...  

The article analyzes the existing procedure for entering information on the boundaries of zones with special conditions for the use of territories in the Unified State Register of Real Estate using the example of flooding zones. The basic regulatory documents governing the procedure and procedure for establishing flood zones are identified, in which gaps are identified in the requirements for the content of the work to determine the boundaries of such zones and assess their accuracy. In this connection, it is proposed to use the algorithm developed by the authors to determine the boundaries of the zones of underflooding development based on the analysis of the hydrographic network and digital terrain model using GIS technologies. This methodology is aimed at an operational assessment of the conditions of built-up and built-up territories, which allows to reduce the financial costs of conducting expensive engineering surveys, the need of which remains to clarify the results of computer mapping in the most critical areas. The norms of accuracy of determining the boundaries of flood zones are proposed, which will correspond to the accuracy of determining the boundaries of the lands of the water fund. In order to test the developed algorithm, we chose the territory of the Ob-Tomsk interfluve, for which zoning was carried out according to the depth of groundwater and the territories of moderate and severe flooding were identified for the purpose of further more detailed study. Keywords: GIS technology; occurrence depth; Unified state register of real estate; flood zone; engineering survey; restrictions The groundwater; zoning of the territory; accuracy of determination of coordinates; business activity.


2020 ◽  
Vol 4 ◽  
pp. 140-146
Author(s):  
G.K. KURMANOVA ◽  

To identify problems in land management and find ways to solve them, the modern structure of organization of rational land use is considered. The analysis of the digitalization of economy in advanced foreign countries is carried out. It has been determined that in order to implement effective land policy, it is necessary to use modern geoinformation technologies, in particular, introduction of digitalization in the field of land relations regulation. It was revealed that in recent years digital technologies have been actively used in agriculture of the republic on the basis of space monitoring, which makes it possible to determine the areas of agricultural crops, species yield, and weediness of fields. The efficiency of land management based on the creation of information system - a unified state cadastre of real estate for the implementation of the State program "Digital Kazakhstan" is shown. In matters of improving land use, it foresees the creation and implementation of a State cadastre of real estate and national spatial data infrastructure. Currently, a pilot project is being carried out to combine two information systems in order to obtain a unified information system for the real estate cadastre. It was concluded that provision of all types of services in accordance with land legislation must be converted into a digital format, thanks to which the public can get free access to information, the necessary services at a distance (without the obligatory attendance at public service centers), as well as in operational mode of obtaining them. For the efficient and rational use of land and work with real estate, a new structure should be created - the Real Estate Management Agency.


Geografie ◽  
2018 ◽  
Vol 123 (2) ◽  
pp. 253-278 ◽  
Author(s):  
Zbyněk Janoušek

The use of Czechia’s landscape was repeatedly changed, especially by political factors. After 1989, there were large-scale processes of property return, privatization and transformation of the economy and society. In 2003, before entry into EU, approximately 300,000 hectares of agricultural land were not used economically. This was evidently an impact of a tremendous fragmentation of the holdings in the early 1990s as well as large differences between the structure of owners of land and its real users (tenants). A mere 62% of arable land (and 78% of agricultural land in all), registered in the Cadastre of Real Estate (register of owners) is also included in the Land Parcel Identification System (register of users). This disharmony between the cadastral data and the state in the terrain prompted us to focus our attention on this state. We analyze the driving forces which brought it about as well as the size and regional structure of such differences.


2020 ◽  
Vol 11 (25) ◽  
Author(s):  
Luciane Oliveira Gemnizack ◽  
Juliane Altmann Berwig

Para acompanhar o avanço da tecnologia e as novas demandas da sociedade, foi instituído o registro eletrônico de imóveis. Com ele, os serviços prestados pelo registro de imóveis serão realizados de forma mais ágil e eficaz, pois diminuirá custos e burocracias para aquisição de documentos e informações, além do controle dos serviços, que serão realizados, inteiramente de maneira eletrônica. No entanto, em virtude desse avanço tecnológico, algumas preocupações recaem sobre os registradores. Dentre elas está a preservação da segurança jurídica e a consequente responsabilidade civil, que mesmo constando expressamente em lei suas diretrizes, ainda pairam inúmeras discussões. Objetiva-se explanar sobre a responsabilidade civil que recai sobre o Oficial, considerando que inexiste norma regulamentadora específica com relação ao registro eletrônico. A metodologia utilizada foi a pesquisa exploratória e descritiva, além dos métodos histórico e dedutivo. Como resultado preliminar, pode-se apontar que, alguns doutrinadores entendem que o registro eletrônico acarretará certa insegurança aos atos praticados, uma vez que os dados estarão circulando na rede. Porém, a maioria acredita que cabe a eles, a função de se adequar às exigências legais, ressaltando a importância e valorizando os inúmeros benefícios que o registro eletrônico proporcionará a todos.


2020 ◽  
Vol 9 (1) ◽  
pp. 39 ◽  
Author(s):  
Agnieszka Szczepańska ◽  
Dariusz Gościewski ◽  
Małgorzata Gerus-Gościewska

The spatial distribution of prices is closely linked with the urban real estate market. Property prices are one of the key indicators of economic activity because they influence economic decisions. Decision-makers and consumers often need information about the spatial distribution of prices, but spatial-temporal analyses of the real estate market are based on the prices quoted in different locations across years (epochs). Due to this idiosyncrasy, the resulting datasets are dispersed (different across years) and difficult to compare. For this reason, the existing interpolation methods are not always effective in analyses of the real estate market. A different approach to interpolating real estate prices that supports the generation of continuous interpolated surfaces while maintaining the values of measurement points is thus needed. This paper proposes a method for replacing dispersed spatial data with a regular GRID structure. The GRID structure covers the measured object with a regular network of nodes, which supports uniform interpolation at every point of the analyzed space and a comparison of interpolation models in successive epochs (years). The proposed method was tested on a selected object. The results indicate that the GRID structure can be used in analyses of highly complex real estate markets where input data are incomplete, irregular and dispersed.


2019 ◽  
Vol 11 (24) ◽  
pp. 7006 ◽  
Author(s):  
Daikun Wang ◽  
Victor Jing Li

With the increasing volume and active transaction of real estate properties, mass appraisal has been widely adopted in many countries for different purposes, including assessment of property tax. In this paper, 104 papers are selected for the systematic literature review of mass appraisal models and methods from 2000 to 2018. The review focuses on the application trend and classification of mass appraisal and highlights a 3I-trend, namely AI-Based model, GIS-Based model and MIX-Based model. The characteristics of different mass appraisal models are analyzed and compared. Finally, the future trend of mass appraisal based on model perspective is defined as “mass appraisal 2.0”: mass appraisal is the appraisal procedure of model establishment, analysis and test of group of properties as of a given date, combined with artificial intelligence, geo-information systems, and mixed methods, to better model the real estate value of non-spatial and spatial data.


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