scholarly journals Geospatial Analysis for Irrigated Land Assessment, Modeling and Mapping

Author(s):  
Olumuyiwa Idowu Ojo ◽  
Francois Ilunga
Author(s):  
P. Trofymenko ◽  
◽  
T. Tretyak ◽  
Yu. Bezgodkova ◽  
N. Trofimenko ◽  
...  

The paper presents the results of research on the development of a GIS database for the tasks of normative monetary valuation of lands of settlements and highlights the applied aspects of its use on the example of Lychanka village, Dmytriv territorial community, Bucha district, Kyiv region. An algorithm for developing a GIS database for normative monetary valuation of settlement lands is presented. The presented estimation algorithm allows to carry out with high accuracy normative monetary estimation of settlements, to carry out its automated updating on a certain date, to receive necessary information on request, to carry out analytical operations and construction of specialized estimation maps. The development of the GIS database involved the implementation of two stages. At the first stage of formation of the initial land assessment base, the attribute table included data from the Public Cadastral Map of Ukraine on land plots within the settlement by the following items: cadastral number of land plot, area, form of ownership, purpose and functional use of land plot , the number of the cadastral zone in which each land is located, the number of the land assessment area of the settlement, the value of the base value of land, the value of the zonal coefficient (Km2), the coefficient characterizing the functional purpose of the land (Kf), information on the location (street name). The second stage involved the calculation of the value of the normative monetary valuation of each of the 1279 land plots and was performed using the built-in Arc Map function "Calculation of numerical values". After the development of the GIS database, the testing stage of the developed land assessment database was performed, which involved the use of various query execution, geospatial analysis, the use of buffering functions, topological overlay (intersection). As a result of the analysis, the following maps were constructed: "Influence of local factors on the distance of land from the center of the settlement", "Influence of local factors on the distance of land from highways", "Influence of local factors on the environmental situation", "Influence of local factors on security electricity", "Influence of local factors on the distance from paved roads", "Influence of local factors on the provision of centralized water supply", "Influence of local factors on the provision of centralized sewerage", "Influence of local factors on the provision of centralized gas supply", "Map plots according to the results of normative monetary assessment" , "Map of the establishment of buffer zones by the value of local coefficients" , "Map of coastal protection strips around water bodies with the allocation of zones of their intersection with land". Due to the application of special functions of geospatial analysis available in the GIS environment, examples of development of highly informative cartographic materials in the form of special pricing zoning of the territory of the settlement are shown. The expediency of the application of the GIS database for the tasks of monitoring the quality of land, compliance with their legal regime and the possibility of monitoring the implementation of fiscal obligations by landowners and users.


2013 ◽  
pp. 136-144
Author(s):  
G. N. Ogureeva ◽  
T. V. Kotova

The concept of ecological potential is realized by development of biogeographical and bioecological maps. Experience of preparation of a set of integrated bioecological maps of Russia of scale 1 : 8 000 000, displaying biot as a whole is presented. It includes maps – Zones and altitudinal zonality types of vegetation of Russia and adjacent territories, Ecoregions of Russia, Bioms of Russia. Maps are developed on the basis of allocation regional (ecological division) and typological (bioms diversity) divisions biote a cover. These divisions can serve basic units at geoinformation researches of modern ecological potential, a binding of the information according to a biodiversity and to a condition biote at national and regional levels. On them it is possible to make inventory of a biodiversity, the major parameter of ecological potential of landscapes, to choose characteristic and unique objects for monitoring and conservations, to planning the actions connected with sustainability progress lands and conservations ecosystems and other.They are directed on revealing of ecological potential of territorial units (zones ecoregions bioregions) through the ecological characteristic biote or on revealing of differentiation biote (zonobioms group of regional bioms regional bioms) through the characteristic of its ecology-typological variety.


2019 ◽  
Author(s):  
Trista M. Brophy ◽  
◽  
Steven P. Hohman ◽  
A.J. Reisinger ◽  
Eban Z. Bean ◽  
...  

Author(s):  
Munazza Fatima ◽  
Kara J. O’Keefe ◽  
Wenjia Wei ◽  
Sana Arshad ◽  
Oliver Gruebner

The outbreak of SARS-CoV-2 in Wuhan, China in late December 2019 became the harbinger of the COVID-19 pandemic. During the pandemic, geospatial techniques, such as modeling and mapping, have helped in disease pattern detection. Here we provide a synthesis of the techniques and associated findings in relation to COVID-19 and its geographic, environmental, and socio-demographic characteristics, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) methodology for scoping reviews. We searched PubMed for relevant articles and discussed the results separately for three categories: disease mapping, exposure mapping, and spatial epidemiological modeling. The majority of studies were ecological in nature and primarily carried out in China, Brazil, and the USA. The most common spatial methods used were clustering, hotspot analysis, space-time scan statistic, and regression modeling. Researchers used a wide range of spatial and statistical software to apply spatial analysis for the purpose of disease mapping, exposure mapping, and epidemiological modeling. Factors limiting the use of these spatial techniques were the unavailability and bias of COVID-19 data—along with scarcity of fine-scaled demographic, environmental, and socio-economic data—which restrained most of the researchers from exploring causal relationships of potential influencing factors of COVID-19. Our review identified geospatial analysis in COVID-19 research and highlighted current trends and research gaps. Since most of the studies found centered on Asia and the Americas, there is a need for more comparable spatial studies using geographically fine-scaled data in other areas of the world.


Sign in / Sign up

Export Citation Format

Share Document