scholarly journals Classification of Landscape Physiognomies in Rural Poland: The Case of the Municipality of Cekcyn

2021 ◽  
Vol 6 (4) ◽  
pp. 80-95
Author(s):  
Anna Górka ◽  
Kazimierz Niecikowski
Keyword(s):  
Land Management ◽  
Spatial Data ◽  
Spatial Databases ◽  
Visual Fields ◽  
Field Studies ◽  
Landscape Patterns ◽  
Rural Landscapes ◽  
Gis Applications ◽  
European Landscape Convention

<p>This article presents a methodology and the results of the classification of the rural landscapes physiognomies conducted on the study area located in the municipality of Cekcyn, Poland. The study aimed to develop a landscape identification method that would combine natural, cultural, and visual criteria with which to implement the provisions of the European Landscape Convention. The realization of the European Landscape Convention in Poland is incomplete due to the lack of practical application of landscape assessment in land management and spatial planning at the commune level. The research was intended at helping to fill this void. The study develops a method using which it will be possible to protect the diversity and beauty of Europe’s rural landscapes more effectively. The goal has so far been of little scientific interest in Poland. The physiognomy of the studied area was analyzed with the use of commonly available spatial data and by means of field studies. Physical-geographical units and cultural characteristics have been designated based on spatial databases. Landscape patterns were identified by analyzing visual fields with the use of both GIS applications and field studies. This practice made it possible to determine physiognomic units of the landscape which are internally coherent and relatively homogeneous in terms of physical-geographical, cultural, and visual features. Identifying the landscape physiognomy within the designated landscape physiognomic units serves to harmonize spatial alterations in the area of rural communes in processes of land management and planning.</p>

scholarly journals PAISAGENS FLUVIAIS E PEIXES DE RIACHO: UMA INTRODUÇÃO AOS DADOS, UNIDADES ESPACIAIS DE ANÁLISE E CLASSIFICAÇÃO

2021 ◽  
Vol 25 (02) ◽  
pp. 494-511
Author(s):  
Fernando Gertum Becker ◽  
◽  
Mateus Camana ◽  
Keyword(s):  
Spatial Data ◽  
Spatial Databases ◽  
Large River ◽  
Classification Systems ◽  
Research Progress ◽  
Stream Fish ◽  
Fish Ecology ◽  
Units Of Analysis ◽  
Large River Basins

Research on riverscapes and stream fish ecology has undergone a wide progress since the 1990s. Several conditions have been pointed out as essential in this progress, including the following four: (a) availability of geo-technology and spatial data, (b) setting the regional context of study areas (biomes, large river basins, ecoregions); (c) defining hierarchical spatial units of analysis (watersheds, segments, reaches) and their attributes (e.g., area, slope, order, perennial/intermittent), and (d) classification of spatial units according to their attributes. Here we present an introduction to these topics, using examples from studies in Brazilian streams, where research progress on riverscapes and stream fish has occurred only more recently. We identify a few challenges in the Brazilian context, including the standardization and consolidation of regional and national spatial databases that support riverscape analyses, training fish ecologists in Geographic Information Systems (GIS) and spatial data, expanding the use of classification systems in different spatial coverages and resolutions, research on structural, spatial and temporal attributes of spatial units in riverscape analyses

scholarly journals A Unified Database Solution to Process BIM and GIS Data

2020 ◽  
Vol 10 (23) ◽  
pp. 8518
Author(s):  
Michał Wyszomirski ◽  
Dariusz Gotlib
Keyword(s):  
Spatial Data ◽  
Laser Scanning ◽  
Spatial Databases ◽  
Information Modeling ◽  
Data Conversion ◽  
Original Form ◽  
Gis Technology ◽  
Gis Applications ◽  
Gis Data ◽  
New Perspective

For many years, the objective of spatial databases created using Geographic Information System (GIS) technology was to provide information about large spaces and areas outside of buildings. Building Information Modeling (BIM) technology focused mainly on small spaces, indoor and outdoor, targeted at other users and slightly different applications, was developed simultaneously for several dozen years. The significant development of GIS technology and new tools for quick data acquisition (e.g., laser scanning) and growing user needs resulted in the geoinformation modeling of the space inside buildings as well. BIM, on the other hand, began to be used for increasingly larger spaces outside buildings. Technology developers, users, and scientists started to notice that works turned out to be repetitive and that combining two different technologies is necessary; however, it is not simple. The research presented in the article is another attempt at connecting the world of BIM and GIS. The proposed integrated database environment of BIM/GIS spatial data makes it possible to store GIS and BIM data, enabling the use of the same data by both types of systems simultaneously and in a consistent manner. This allows BIM systems to to obtain simultaneous access to BIM and GIS data, which may be needed in, for example, the process of analyzing a building and its immediate surroundings. At the same time, GIS can obtain up-to-date building data necessary for spatial analyses, building management, or route mapping in navigation applications. The concept proposed in this article assumes a pragmatic approach, which is based on sharing Industry Foundation Classes (IFC) and CityGML schemas from a single database for BIM and GIS applications in their practically original form using an additional integrated BIM-GIS schema, called BIGI-S. The research joins some other works in this field, complementing them and adding a new perspective. This paper describes the concept of this solution, including specific data structures, data conversion algorithms, and a prototype solution. The tests carried out by the authors prove the robustness of the adopted concept and its technical feasibility.

scholarly journals Comparison of land passability maps created with use of different spatial data bases

Geografie ◽  
2018 ◽  
Vol 123 (3) ◽  
pp. 317-352 ◽  
Author(s):  
Krzysztof Pokonieczny
Keyword(s):  
Comparative Analysis ◽  
Spatial Data ◽  
Spatial Databases ◽  
Terrain Analysis ◽  
Primary Field ◽  
Data Bases ◽  
Corine Land Cover ◽  
The Military ◽  
Level 2

One of the key elements of military terrain analysis is the classification of terrain in terms of passability. It consists of dividing terrain into three categories: (NO GO, SLOW GO and GO TERRAIN). In this paper, the author presents the comparative analysis of passability maps created with the use of various spatial databases, including: BDOT10k, BDOO, Corine Land Cover, and OSM. They were compared to maps generated based on data included in the Military Geographic Resource (VMap Level 2 and 1). The created maps were then compared with a passability map prepared manually by the operator. In order for the maps to be comparable, an identical algorithm was used to generate them. The research consists of determining the index of passability for a square primary field of various dimensions (side length from 100 m to 5 km). The results demonstrated that “non-military” spatial databases may be successfully used to generate military passability maps.

scholarly journals Modelling the Impacts of Habitat Changes on the Population Density of Eurasian Skylark (Alauda arvensis) Based on Its Landscape Preferences

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 306
Author(s):  
Nándor Csikós ◽  
Péter Szilassi
Keyword(s):  
Population Density ◽  
Land Cover ◽  
Arable Land ◽  
Bird Species ◽  
Landscape Patterns ◽  
Percentage Error ◽  
Alauda Arvensis ◽  
Rural Landscapes ◽  
Farmland Bird ◽  
Shape Complexity

The dramatic decline of the abundance of farmland bird species can be related to the level of land-use intensity or the land-cover heterogeneity of rural landscapes. Our study area in central Europe (Hungary) included 3049 skylark observation points and their 600 m buffer zones. We used a very detailed map (20 × 20 m minimum mapping unit), the Hungarian Ecosystem Basemap, as a land-cover dataset for the calculation of three landscape indices: mean patch size (MPS), mean fractal dimension (MFRACT), and Shannon diversity index (SDI) to describe the landscape structure of the study areas. Generalized linear models were used to analyze the effect of land-cover types and landscape patterns on the abundance of the Eurasian skylark (Alauda arvensis). According to our findings, the proportions of arable land, open sand steppes, closed grassland patches, and shape complexity and size characteristics of these land cover patches have a positive effect on skylark abundance, while the SDI was negatively associated with the skylark population. On the basis of the used statistical model, the abundance density (individuals/km*) of skylarks could be estimated with 37.77% absolute percentage error and 2.12 mean absolute error. We predicted the skylark population density inside the Natura 2000 Special Protected Area of Hungary which is 0–6 individuals/km* and 23746 ± 8968 skylarks. The results can be implemented for the landscape management of rural landscapes, and the method used are adaptable for the density estimation of other farmland bird species in rural landscapes. According to our findings, inside the protected areas should increase the proportion, the average size and shape complexity of arable land, salt steppes and meadows, and closed grassland land cover patches.

scholarly journals A Survey on Spatio-temporal Data Analytics Systems

2022 ◽  
Author(s):  
Md Mahbub Alam ◽  
Luis Torgo ◽  
Albert Bifet
Keyword(s):  
Programming Languages ◽  
Spatial Data ◽  
Data Analytics ◽  
Spatial Databases ◽  
Location Based Services ◽  
Temporal Data ◽  
Wide Range ◽  
Data Volume ◽  
Spatio Temporal ◽  
Gis Software

Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of real-world problems, a plethora of research and development work has been done in the area of spatial and spatio-temporal data analytics in the past decade. The main goal of existing works was to develop algorithms and technologies to capture, store, manage, analyze, and visualize spatial or spatio-temporal data. The researchers have contributed either by adding spatio-temporal support with existing systems, by developing a new system from scratch, or by implementing algorithms for processing spatio-temporal data. The existing ecosystem of spatial and spatio-temporal data analytics systems can be categorized into three groups, (1) spatial databases (SQL and NoSQL), (2) big spatial data processing infrastructures, and (3) programming languages and GIS software. Since existing surveys mostly investigated infrastructures for processing big spatial data, this survey has explored the whole ecosystem of spatial and spatio-temporal analytics. This survey also portrays the importance and future of spatial and spatio-temporal data analytics.

scholarly journals The Unification of the Code Lists Provided within the Data Model Originating from the Inspire Technical Guidelines and the Ones Provided for Gesut Databases in the Context of Potential Exploitation in the Mining Industry

2016 ◽  
Vol 23 (3) ◽  
pp. 178-182
Author(s):  
Andrzej Zygmuniak ◽  
Violetta Sokoła-Szewioła
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Databases ◽  
Mining Industry ◽  
Data Models ◽  
Research Projects ◽  
Mining Areas ◽  
European Parties ◽  
Potential Exploitation ◽  
The Way

Abstract This study is aimed at exposing differences between two data models in case of code lists values provided there. The first of them is an obligatory one for managing Geodesic Register of Utility Networks databases in Poland [9] and the second is the model originating from the Technical Guidelines issued to the INSPIRE Directive. Since the second one mentioned is the basis for managing spatial databases among European parties, correlating these two data models has an effect in easing the way of harmonizing and, in consequence, exchanging spatial data. Therefore, the study presents the possibilities of increasing compatibility between the values of the code lists concerning attributes for objects provided in both models. In practice, it could lead to an increase of the competitiveness of entities managing or processing such databases and to greater involvement in scientific or research projects when it comes to the mining industry. Moreover, since utility networks located on mining areas are under particular protection, the ability of making them more fitted to their own needs will make it possible for mining plants to exchange spatial data in a more efficient way.

scholarly journals A multi-factor model developed on residents’ opinions for the classification of urban residential areas

Geografie ◽  
2016 ◽  
Vol 121 (1) ◽  
pp. 1-31
Author(s):  
Péter Gyenizse ◽  
András Trócsányi ◽  
Gábor Pirisi ◽  
Zita Bognár ◽  
Szabolcs Czigány
Keyword(s):  
Urban Area ◽  
Social Services ◽  
Spatial Data ◽  
Factor Model ◽  
Decision Makers ◽  
Social Differentiation ◽  
Residential Areas ◽  
The Status ◽  
Housing Needs

The process of social differentiation in post-communist states has had a clear impact on the status of neighbourhoods. Municipalities have tried to handle the problem, but planning in Hungary is still based on shallow analyses. This paper presents a method for examining and quantifying prevailing factors of residential areas, also being able of a spatial comparison. It detects problematic issues and locations and assists in the formulation of solutions. The model city for the presented study was Szeged, located in southeastern Hungary. Szeged is the economic center of the region and it was an ideal urban area for the evaluation of housing needs and for the mapping of various objects and social services. A field-collected qualitative database was processed using the Idrisi Selva GIS program, resulting in a classifying map of investigated areas. We have localized the properties of the lowest score and also determined the major issues responsible for low scores by analysing the spatial data of 27 GIS layers. The model can be used to detect the reasons causing differences in the perception of neighbourhoods, while it may serve as a tool for decision makers.

scholarly journals From Surveying to Geomatics

2016 ◽  
Vol 10 (3-4) ◽  
pp. 153-160 ◽  
Author(s):  
Besim Ajvazi ◽  
Fisnik Loshi ◽  
Béla Márkus
Keyword(s):  
Information And Communication Technologies ◽  
Spatial Data ◽  
Professional Education ◽  
Spatial Databases ◽  
Unmanned Aerial Systems ◽  
Geospatial Information ◽  
Automatic Data ◽  
Data Infrastructure ◽  
Building Information ◽  
Concept Building

In the land surveying profession fast changes have been taking place in the last fifty years. Technological changes are generated by the Information and Communication Technologies; the analogue – digital trends; the automatic data acquisition methods replace manual ones; instead of two-dimensional base maps we use dynamic spatial databases more and more integrated into a global data infrastructure. However, these changes cause impacts also on scientific level. The traditional top-down approach substituted by bottom-up methodologies; in many cases the point-by-point measurement is changed by 3D laserscanning or Unmanned Aerial Systems, which produces huge amount of data, but it needs new algorithms for information extraction; instead of a simple data provision land surveyors support complex spatial decisions. The paper is dealing with some aspects of these changes. In the first chapter the authors would like to highlight the “data-information-knowledge” relations and the importance of changes in professional education. The second chapter gives an example of the benefits of a Global Spatial Data Infrastructure in spatial decision support. Finally we introduce a new concept (Building Information Modelling) in modelling the real world. However, until now BIM is used in building construction industry, it can can be a paradigm shift in geospatial information management in general.

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