scholarly journals Quantitative Land Suitability Mapping for Crop Cultivation

2018 ◽  
Vol 20 (3) ◽  
pp. 77-83
Author(s):  
Svitlana Kokhan ◽  
Antonina Moskalenko ◽  
Oleg Drozdivskyi
Keyword(s):  
Knowledge Base ◽  
Geographical Information Systems ◽  
Climatic Conditions ◽  
Land Suitability ◽  
Geographical Information ◽  
Crop Cultivation ◽  
Suitability Assessment ◽  
Crop Suitability ◽  
Multi Criteria Evaluation ◽  
Gis Environment

Developing the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating thematic and complex maps and geomodels. The real world spatial problems give rise to multi-criteria decision-making based on geographical information systems (GIS). The GIS environment provides both aggregation and spatial analysis of various georeferenced data. In this paper, the two approaches of multi-criteria evaluation (MCE) are represented - overlaying with the AND operation and the lowest score assignment on one criterion. An example of multi-attribute decision analysis is done using criteria for the crop suitability assessment. A comparison of those two approaches has been made, based on results of the land-use suitability mapping for the study crops - winter wheat, sunflower and corn. The results demonstrated that at certain locations, a range of criteria values, according to the AND operations had the lower applicability and less flexibility than according to the second approach, based on the lowest score assignment on one criterion. Designed maps characterize the threshold status of the soil quality to provide yields of studied crops on certain areas. A set of land suitability maps, designed as quantitative models of integration of environmental, soil and climatic conditions, would be very effective to manage the complex decisions under the crop cultivation.

scholarly journals THE UNCERTAINTIES ON THE GIS BASED LAND SUITABILITY ASSESSMENT FOR URBAN AND RURAL PLANNING

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 523-530 ◽  
Author(s):  
H. Liu ◽  
Q. Zhan ◽  
M. Zhan
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Land Suitability ◽  
Geographical Information ◽  
Analysis Tool ◽  
Practical Applications ◽  
Whole Process ◽  
Suitability Assessment ◽  
Land Suitability Assessment

The majority of the research on the uncertainties of spatial data and spatial analysis focuses on some specific data feature or analysis tool. Few have accomplished the uncertainties of the whole process of an application like planning, making the research of uncertainties detached from practical applications. The paper discusses the uncertainties of the geographical information systems (GIS) based land suitability assessment in planning on the basis of literature review. The uncertainties considered range from index system establishment to the classification of the final result. Methods to reduce the uncertainties arise from the discretization of continuous raster data and the index weight determination are summarized. The paper analyzes the merits and demerits of the “Nature Breaks” method which is broadly used by planners. It also explores the other factors which impact the accuracy of the final classification like the selection of class numbers, intervals and the autocorrelation of the spatial data. In the conclusion part, the paper indicates that the adoption of machine learning methods should be modified to integrate the complexity of land suitability assessment. The work contributes to the application of spatial data and spatial analysis uncertainty research on land suitability assessment, and promotes the scientific level of the later planning and decision-making.

scholarly journals The multi-criteria analysis for sustainable urban growth by using Fuzzy Method: case study Trikomo, Cyprus

2021 ◽  
Vol 7 (4) ◽  
pp. 623-636
Author(s):  
Can Kara ◽  
◽  
Nuhcan Akçit ◽  
Keyword(s):  
Urban Growth ◽  
Geographical Information Systems ◽  
Urban Expansion ◽  
Coastal Region ◽  
Geographical Information ◽  
Multi Criteria Evaluation ◽  
Multi Criteria Analysis ◽  
Gis Environment ◽  
The City

<abstract> <p>The Urban growth in Trikomo (Yeni İskele) region in Cyprus has dramatically increased recently. The unorganized and uncontrolled development process has started to consume land resources; loss of landcover, valuable agricultural lands, and change of wetlands of stream beds or ponds occurred. In addition, partial and fragmented housing development projects bring only housing and second housing to the coastal region. As a result, environmental and economic problems occurred in sustainable urban growth (SUG) in the Trikomo (Yeni İskele) region. Due to the lack of planning instruments in Trikomo, urban expansion policies and alternatives have been ignored. In this regard, this research tries to investigate spatial SUG and expansion alternatives by using Multi-Criteria Evaluation (MCE) and fuzzy logic within geographical information systems (GIS). Compact growth, environmental protection, and equal accessibility to local services were used for multi-criteria analysis to construct spatial SUG problems. Then they were converted to spatial layers within the (GIS) environment. Results show that; 6 percent of the study area is in a shallow suitability zone. Forty-four percent of it has very low and low suitability for SUG. Also, 41 percent of the area is suitable. Only 12 percent of the area has high and very high suitability values. These findings showed that approximately 118 square kilometers (56 percent) of the city is within the same level appropriate for urban development.</p> </abstract>

scholarly journals Land Suitability Evaluation for Cereal Crops: A Multicriteria Approach Using GIS at Parbatipur VDC, Chitwan, Nepal

2014 ◽  
Vol 2 (4) ◽  
pp. 493-500 ◽  
Author(s):  
B. Neupane ◽  
C.P. Shriwastav ◽  
S.C. Shah ◽  
K. Sah
Keyword(s):  
Rice Cultivation ◽  
Geographical Information ◽  
Cereal Crops ◽  
Maize Production ◽  
Suitability Evaluation ◽  
Index Model ◽  
Crop Suitability ◽  
Multi Criteria Evaluation ◽  
Wheat Cultivation ◽  
New Research

A research was conducted to evaluate the suitability of soils of different land unit for cereal crops productions at Parbatipur VDC, Chitwan, Nepal with the integrated use of Geographical Information system (GIS) and Multi-criteria evaluation (MCE).Existing geodatabase information from National Land Use Project (NLUP) was used as data for this research. The database was used to derive crop suitability using vector based index model in GIS along with multi-criteria analysis. The research revealed that for rice cultivation, 1.06 %( 10.70ha) was highly suitable, 51.54 %( 515.89ha) was moderately suitable, 3.39% (33.987 ha) was marginally suitable but 28.28 %( 283.11 ha) was not suitable whereas for wheat cultivation, 7.6 %( 76.73ha) was highly suitable, 44.91% (449.53 ha) was moderately suitable and 4.6% (46.26ha) was marginally suitable, but 27.15% (27.14ha) was not suitable. Similarly, for maize cultivation, 12.07% (120.83ha) was highly suitable, 40.19% (402.25ha) was moderately suitable and 0.53% (5.37ha) was marginally suitable, but 31.54% (315.72ha) was not suitable for maize production. Suitability data of this VDC shows that maize and wheat was highly suitable than rice cultivation. But, the area not suitable for rice, wheat and maize must be allocated for alternative uses to achieve optimum productions and further there must be new research for alternative crops in VDC. Hence, this research is useful to farmers and VDC level planners for optimum crops production. DOI: http://dx.doi.org/10.3126/ijasbt.v2i4.11279Int J Appl Sci Biotechnol, Vol. 2(4): 493-500 

Geographical Information Systems for Biomass Estimate and the Search for Renewable Energy Sources

2012 ◽  
Vol 3 (1) ◽  
pp. 26-39 ◽  
Author(s):  
Giuseppe Borruso
Keyword(s):  
Renewable Energy ◽  
Geographical Information Systems ◽  
Renewable Energy Sources ◽  
Geographical Information ◽  
Energy Sources ◽  
Energy Potential ◽  
North Eastern ◽  
Need To Evaluate ◽  
Alternative Sources ◽  
Gis Environment

In this paper the attention is drawn on GIS as a support for energy choices for a sustainable development. Given the growing pressures for respecting the environment on one side and on limited non-renewable energy sources, mainly oil-based, on the other side, there is a need to evaluate different alternative sources for integrating those already available and to foster energy saving. This paper is focused on biomasses, and particularly on those originating from cattle and swine breeding. An example is given of localization and quantification of energy potential deriving from animal breeding in Friuli Venezia Giulia Region (North Eastern Italy), focusing on cattle and swine ones, from the analysis of local units and animals registered at municipality level. In this stage of the research, the GIS environment is used to analyse statistical data at municipality level and for computing the theoretical output in energy terms, hypothesising different scenarios.

Effects of geographical and climatic factors on cystic echinococcosis in south-western Iran

2020 ◽  
Vol 94 ◽  
Author(s):  
A. Jamshidi ◽  
A. Haniloo ◽  
A. Fazaeli ◽  
M.A. Ghatee
Keyword(s):  
Land Cover ◽  
Cystic Echinococcosis ◽  
Geographical Information Systems ◽  
Climatic Factors ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Geographical Information ◽  
Annual Rainfall ◽  
Mean Annual Temperature ◽  
Western Iran

Abstract Cystic echinococcosis (CE) is caused by the larval form of Echinococcus granulosus that can cause serious health and economic problems in the endemic foci. CE is globally distributed in various climatic conditions from circumpolar to tropical latitudes. Iran is an important endemic area with a spectrum of weather conditions. The aim of this study was to determine the effects of geo-climatic factors on the distribution of livestock CE in south-western Iran (SWI) in 2016 to 2018. Data of livestock CE were retrieved from veterinary organizations of four provinces of SWI. The geo-climatic factors, including mean annual temperature (MAT), minimum MAT (MinMAT), maximum MAT (MaxMAT), mean annual rainfall (MAR), elevation, mean annual evaporation (MAE), sunny hours, wind speed, mean annual humidity (MAH), slope, frost days and land cover, were analysed using geographical information systems (GIS) approaches. The statistical analysis showed that MAR, frost days, elevation, slope and semi-condensed forest land cover were positively and MAE, MAT, MaxMAT, MinMAT and salt and salinity land cover were negatively correlated with CE occurrence. MAE was shown to be a predictive factor in the stepwise linear logistic regression model. In short, the current GIS-based study found that areas with lower evaporation were the main CE risk zones, though those with lower temperature and higher rainfall, altitude and slope, especially where covered with or in close proximity of semi-condensed forest, should be prioritized for consideration by health professionals and veterinarians for conducting control programmes in SWI.

Cartography and GIS

2019 ◽  
Author(s):  
Вячеслав Раклов ◽  
Vyacheslav Raklov
Keyword(s):  
Real Estate ◽  
Land Management ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Gis Mapping ◽  
History Of ◽  
Gis Environment ◽  
Composition Structure ◽  
Classification Of Maps

The textbook considers the basic concepts of cartography, the history of its development, as well as the classification of maps and the main elements of the map, the issues of mathematical cartography, the main stages of creating maps, the factors, types and methods of cartographic generalization. Separate sections of the manual are devoted to cartographic signs and methods of image on maps of thematic content, the development of cartographic scales and methods of use of maps in land management and cadastre. Separately, the issues of the functioning of geographical information systems (GIS): their composition, structure, technology for creating thematic maps in the GIS environment. The manual concludes with a section on GIS mapping for real estate cadastre, environmental protection and land monitoring, as well as recommendations on the choice of GIS and requirements for cartographic documentation of real estate cadastre. Recommended for students studying in the field of "land Management", "Land cadastre", "Urban cadastre".

scholarly journals USING GIS FOR DEVELOPING SUSTAINABLE URBAN GROWTH CASE KYRENIA REGION

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 263-268 ◽  
Author(s):  
C. Kara ◽  
N. Akçit
Keyword(s):  
Urban Development ◽  
Environmental Protection ◽  
Urban Growth ◽  
Geographical Information Systems ◽  
Planning Process ◽  
Central Zone ◽  
Geographical Information ◽  
Sustainable Urban Development ◽  
Soil Productivity ◽  
Multi Criteria Evaluation

<p><strong>Abstract.</strong> It is critical to develop urban layers for analysis sustainable urban development possibilities within planning process. Kyrenia Region has many physical, environmental or economic issues that may danger the growth possibilities in sustainable manner. From this point, this study uses different spatial layers such as slope, distance to roads, distance to central zone, vegetation, soil productivity, environmental protection zones, distance to open/green space, distance to education for supporting sustainable urban growth policies and define suitable areas for urban development within this perspective. The study tries to convert sustainable urban growth policies such as; compact growth, environmental protection, equal accessibility to basic services; into spatial layers and establish proper framework for multi criteria evaluation in Kyrenia Region within using geographical information systems. It shows suitability values for Kyrenia region and constraints zones at final section. It clearly presents the suitable areas for the sustainable urbanization and also unsuitable or risky areas for reducing the possible disasters and may happen in the future.</p>

Geographical Information Systems for Biomass Estimate and the Search for Renewable Energy Sources

2012 ◽  
pp. 486-499
Author(s):  
Giuseppe Borruso
Keyword(s):  
Renewable Energy ◽  
Geographical Information Systems ◽  
Renewable Energy Sources ◽  
Geographical Information ◽  
Energy Sources ◽  
Energy Potential ◽  
North Eastern ◽  
Need To Evaluate ◽  
Alternative Sources ◽  
Gis Environment

In this paper the attention is drawn on GIS as a support for energy choices for a sustainable development. Given the growing pressures for respecting the environment on one side and on limited non-renewable energy sources, mainly oil-based, on the other side, there is a need to evaluate different alternative sources for integrating those already available and to foster energy saving. This paper is focused on biomasses, and particularly on those originating from cattle and swine breeding. An example is given of localization and quantification of energy potential deriving from animal breeding in Friuli Venezia Giulia Region (North Eastern Italy), focusing on cattle and swine ones, from the analysis of local units and animals registered at municipality level. In this stage of the research, the GIS environment is used to analyse statistical data at municipality level and for computing the theoretical output in energy terms, hypothesising different scenarios.

The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment

1994 ◽  
Vol 26 (2) ◽  
pp. 265-284 ◽  
Author(s):  
F Wang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Pattern Classification ◽  
Agricultural Land ◽  
Assessment Methods ◽  
Land Suitability ◽  
Geographical Information ◽  
Suitability Assessment ◽  
Artificial Neural ◽  
Land Suitability Assessment

Agricultural land-suitability assessment involves the analysis of a large variety and amount of physiographic data. Geographical information systems (GISs) may facilitate suitability assessment in data collection. To generate accurate results from the data, appropriate suitability-assessment methods are required. However, the assessment methods which can currently be used with GISs, such as that developed by the United Nations Food and Agriculture Organization and the statistical pattern—classification method, have limitations which may lead to inaccurate assessment. An artificial neural network is an effective tool for pattern analysis. A neural network allows decision rules of greater complexity to be applied in pattern classification. By formulating the land-suitability-assessment problem into a pattern—classification problem, neural networks can be used to achieve results of greater accuracy. In this paper, a neural-network-based method for land-suitability assessment is discussed, and a set of neural networks is described. The integration between the neural networks and a GIS is addressed, and some experimental results are presented and analyzed.

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