scholarly journals Analysis of spatial distribution of noiseon Adam Mickiewicz housing estate in Lublin

2019 ◽  
Vol 17 (4) ◽  
pp. 181-192
Author(s):  
Aleksandra Joachimowicz ◽  
Kamil Nieścioruk
Keyword(s):  
Spatial Distribution ◽  
Housing Estate ◽  
Spatial Image ◽  
Gis Tools ◽  
Adam Mickiewicz

The paper deals with the problem of measuring and analysing noise in resi-dential areas with relation to their vicinity and landscape- and architecture composition. Al-most 70 points were selected to measure the noise three times per day and to create, using GIS tools, spatial image of the phenomenon. The resulting maps were analysed, pointing out sources of noise and factors reducing the sound spread. The further research ideas were suggested as well.

Evaluation of spatial distribution of occurrence of parasitozoonoses by GIS tools

2020 ◽  
pp. 159-165
Author(s):  
Peter Blišťan ◽  
Soňa Molčíková ◽  
Viera Hurčíkova ◽  
Ľudovít Kovanič ◽  
Ingrid Papajová ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Gis Tools

scholarly journals Spatial distribution and statistic analysis of the anthropogenic line forms on the different basic fields

2013 ◽  
Vol 1 (2) ◽  
pp. 1-14
Author(s):  
Bartłomiej Szypuła
Keyword(s):  
Spatial Distribution ◽  
Rapid Development ◽  
Kernel Density ◽  
Spatial Relations ◽  
Spatial Image ◽  
Density Analysis ◽  
Kernel Density Analysis ◽  
Application Fields ◽  
Density Image ◽  
Better Than

Abstract Despite the rapid development of geoinformation technology and GIS - a classic cartogram is still widely used method for presenting geographic features and phenomena, especially with regard to the relative values connected with the basic fields. The aim of this article was to investigate how the size and shape of the different basic fields influence the results of the phenomenon presentation (in this case anthropogenic line forms). In the experiment were used fields in the shape of: square, hexagon, circle and triangle with different sizes: 1 km, 2 km, 4 km, 8 km and 10 km. Different field areas with the same height, but of a different shape affected to varied quantitative characteristics within them. However, different field heights have caused an obvious increase or decrease the detail of the results. To take a look at the image of the spatial distribution of line forms compared cartograms with another, independent method - kernel density analysis. After setting kernel density image with cartograms one turned out that basic fields shape did not change the image of spatial relations significantly and wellcharacterized them in general. For this study area the best results obtained after the application fields with heights of 2 km and 4 km in the shape of squares and hexagons. It appears that the hexagons better than squares reflect the spatial image of the forms (hexagons allow better representation of the directions and shapes of the studied phenomena), however, they are less common in a geostatistical researches, and that's why they are more difficult to use, especially for comparative analysis.

scholarly journals Spatiotemporal variability of air temperatures in Central Serbia from 1949 to 2018

Időjárás ◽  
2021 ◽  
Vol 125 (2) ◽  
pp. 229-253
Author(s):  
Nikola R. Bačević ◽  
Nikola M. Milentijević ◽  
Aleksandar Valjarević ◽  
Ajša Gicić ◽  
Dušan Kićović ◽  
...  
Keyword(s):  
Time Series ◽  
Spatial Distribution ◽  
Air Temperature ◽  
Minimum Time ◽  
Spatiotemporal Variability ◽  
Air Temperatures ◽  
Gis Tools ◽  
Average Maximum ◽  
Annual Time Series ◽  
The Republic

The paper presents trends for three categories of variables: average annual, average maximum and average minimum air temperatures. Data was provided by the meteorological yearbooks of the Republic Hydrometeorological Service of Serbia. The main goal of this paper is to detect possible temperature trends in Central Serbia. The trend equation, trend magnitude, and Mann-Kendall non-parametric test were used in the analysis of climate parameters. The used statistical methods were supplemented by GIS numerical analysis, which aimed to analyze the spatial distribution of isotherms from 1949 to 2018. The obtained results indicate that out of the 72 analyzed time series, an increase in air temperature is dominant in 61 time series, while 11 time series show no changes. The highest increase was recorded in the average maximum time series (4.2 °C), followed by an increase of 3.5°C in average maximum air temperatures. The highest increase in the average annual time-series was 3.0 °C. The lowest increases in air temperature were recorded in the average minimum time series (0.1 and 0.2 °C). In two average minimum time series a decrease in average air temperatures was identified (-0.6 and -0.4 °C. The application of GIS tools indicates the existence of interregional differences in the arrangement of isotherms, leaded by the orography of the terrain. In the spatial distribution of the analyzed variables, "poles of heat" and "poles of cold" stand out, and the influence of the urban heat island is evident (especially in the case of the urban agglomeration of Belgrade). The manifested spatial patterns of air temperature need to be further examined and the correlation with possible causes need to be determined. For these reasons, the paper provides a solid basis for studying the climate of this area in the future, as it provides insight into climate dynamics over the past decades.

scholarly journals 668 A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A705-A705
Author(s):  
Anna Trigos ◽  
Tianpei Yang ◽  
Yuzhou Feng ◽  
Volkan Ozcoban ◽  
Maria Doyle ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Image Analysis ◽  
Spatial Distribution ◽  
Data Analysis ◽  
Spatial Data ◽  
R Package ◽  
Immune Microenvironment ◽  
Spatial Image ◽  
Tumor Immune Microenvironment ◽  
Cell Phenotypes

BackgroundSpatial technologies that query the location of cells in tissues such as multiplex immunohistochemistry and spatial transcriptomics are gaining popularity and are likely to become commonplace. The resulting data often includes the X, Y coordinates of millions of cells, cell phenotypes and marker or gene expression levels. In cancer, the spatial location of lymphocytes has been linked to prognosis and response to immunotherapy. While these advances have been exciting for the field, the methods currently being used are still coarse, making us severely underpowered in our ability to extract quantifiable information. Appropriate quantitative tools are desperately needed to refine and uncover novel biologically and clinically meaningful insights from the spatial distribution of cells of the tumor immune microenvironment.MethodsWe compiled over 60 prostate cancer and melanoma FFPE tumor sections and performed Opal multiplex immunohistochemistry for a diversity of T-cell and other immune markers, including CD3, CD4, CD8, FOXP3 and PDL1, as well as a prostate cancer (AMACR) or melanoma (SOX10) marker and DAPI. Following spectral imaging on the Vectra Polaris, we performed cell and tissue segmentation and phenotyping with the inForm or HALO image analysis software. The detected X, Y coordinates of cells and marker intensities were used for subsequent method development.ResultsWe developed SPIAT (Spatial Image Analysis of Tissues)1, an R package with a suite of data processing, quality control, visualization, data handling and data analysis tools for spatial data. SPIAT includes our novel algorithms for the identification of cell clusters, tumor margins and cell gradients, the calculation of neighborhood proportions and algorithms for the prediction of cell phenotypes. By interfacing with packages used in ecology, geographic data analysis and spatial statistics, we have begun to robustly address fundamental questions in the analysis of cell spatial data, such as metrics to measure mixing between cell types, the identification of tumor borders and statistical approaches to compare samples.ConclusionsSPIAT is compatible with multiplex immunohistochemistry, spatial transcriptomics and data generated from other spatial platforms, and continues to be actively developed. We expect SPIAT to become a user-friendly and speedy go-to package for the spatial analysis of cells in tissues, as well as promote the use of quantitative metrics in the spatial analysis of the tumor immune microenvironment.ReferencesTianpei Yang, Volkan Ozcoban, Anu Pasam, Nikolce Kocovski, Angela Pizzolla, Yu-Kuan Huang, Greg Bass, Simon P. Keam, Paul J. Neeson, Shahneen K. Sandhu, David L. Goode, Anna S. Trigos. SPIAT: An R package for the Spatial Image Analysis of Cells in Tissues. BioRxiv doi: https://doi.org/10.1101/2020.05.28.122614

scholarly journals CORAL REEF SPATIAL DISTRIBUTION IN WANGI-WANGI ISLAND WATERS, WAKATOBI

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
. Yulius ◽  
Nadya Novianti ◽  
Taslim Arifin ◽  
Hadiwijaya L. Salim ◽  
Muhammad Ramdhan ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Coral Reef ◽  
Coral Reefs ◽  
Soft Coral ◽  
Coral Cover ◽  
Coastal Communities ◽  
Marine Biota ◽  
Ecological Functions ◽  
Gis Tools ◽  
Reef Condition

Coral reefs contribute significant benefits in coastal area in Wangi-wangi Island, Wakatobi in terms of their ecological functions to marine biota and socio-economical services to local coastal communities. Therefore, it is importance to observe coral reef condition and its spatial distribution around Wangi-wangi island waters, Wakatobi. In this study Point Intercept Transect (PIT) and GIS tools were used to observe and analyze coral reef condition in Wangi-wangi island waters, Wakatobi. The results showed that coral reef condition in Wangi-wangi island waters can be categorized into moderate and good conditions with coverage percentage ranging from 28 – 60%. Based on spatial analysis non-acropora coral was found in greater cover percentages in Waha village, Sombu village, and Kapota island than other locations. Soft coral cover percentage was also found in larger cover percentage in Waha and  Sombu regions than other locations. Keywords: coral reefs, geographic information system (GIS), Wangi-wangi Island

scholarly journals Reinforcing Place Attachment Through its Disruption: An Ethnographic Example from the Solidarita Housing Estate in Prague

2021 ◽  
Author(s):  
Tereza Hodúlová
Keyword(s):  
Place Attachment ◽  
New Technologies ◽  
Theoretical Concept ◽  
Gradual Change ◽  
Housing Estate ◽  
Social Production ◽  
Production Of Space ◽  
Spatial Image ◽  
Housing Complex ◽  
Post War

Reinforcing Place Attachment Through its Disruption: An Ethnographic Example from the Solidarita Housing Estate in PragueThe Solidarita housing estate was built during the years 1946–1951 as one of the first post-war housing estates in Prague, former Czechoslovakia. Inspired by Scandinavian urban standards, architects designed Solidarita as an urban architectural experiment that combined innovative urban strategies, new technologies, collective approach, and cooperative financing. The socio-spatial structure of Solidarita was influenced by the ideology of socialism – the production of an egalitarian society through a centrally planned economy and collective ownership. As a result, the estate was self-sufficient and conducive to neighborly meetings, and it strengthened their relations through its form. The political transformation, commercialization, and privatization in the 1990s caused a gradual change of the socio-spatial image of the neighborhood. Some elements of the housing complex started to lose their original function and the community character of Solidarita could be jeopardized. Using the theoretical concept of place attachment and the concept of social production of place, the aim of this paper is to show how residents of the Solidarita housing estate in Prague are attached to the place of their home and neighborhood and how this attachment is reconceptualized through the post-socialist socio-spatial changes of the place.Posilování vztahu k místu skrz jeho narušení: etnografický příklad ze sídliště Solidarita v PrazeSídliště Solidarita bylo postaveno v letech 1946–1951 jako jedno z prvních poválečných sídlišť v Praze. Architekti, inspirováni skandinávskými urbanistickými standardy, postavili sídliště jako experiment, který kombinoval inovativní urbanistické strategie, nové technologie, principy kolektivního bydlení a družstevní financovnání. Do tehdejší podoby sídliště se rovněž promítla ideologie státního socialismu, jenž byl založen na centrálně plánováném ekonomickém systému a společném vlastnictví. V době svého vzniku měla být Solidarita místem, které svou prostorovou formou a soběstačností podporuje a posiluje sousedské vazby a vztah rezidentů k místu svého domova. Události po roce 1989, doprovázené procesem privatizace a komercionalizace, zapříčinily postupnou transformaci socio-prostorových charakteristik sousedství. Některé původní prvky sídliště ztratily svou původní funkci a spolu s postupnou individualizací začal být komunitní charakter sídliště ohrožován. Článek využívá teoretické koncepty přináležitost k místu (place attachment) a sociální produkce místa (social production of space). Jeho cílem je zjistit, jak a skrze co jsou rezidenti Solidarity připoutáni k místu svého domova a jak je tato přináležitost k místu re/konceptualizována v kontextu post-socialistické socio-prostorové transformace Solidarity. Wzmacnianie więzi z miejscem poprzez jej przekształcenie: etnograficzna analiza osiedla Solidarita w PradzeOsiedle Solidarita zostało wzniesione w latach 1946-1951 jako jedno z pierwszych powojennych osiedli w Pradze. Architekci, inspirowani skandynawskimi standardami urbanistycznymi, zaprojektowali je jako eksperyment, który łączył innowacyjne strategie urbanistyczne, nowe technologie, zasady mieszkalnictwa zbiorowego z finansowaniem społecznym. W pierwotnym kształcie osiedla uwidacznia się też wpływ ideologii socjalizmu państwowego, opierającego się na centralnie planowanym systemie ekonomicznym oraz własności społecznej. W chwili swego powstania Solidarita miała być miejscem oddziałującym na mieszkańców poprzez swą formę przestrzenną oraz samowystarczalność, co miało przyczyniać się do rozwoju więzi sąsiedzkich oraz związania się mieszkańców z miejscem. Wydarzenia po 1989 roku, którym towarzyszyły procesy prywatyzacji i komercjalizacji, stały się powodem stopniowej transformacji społeczno-przestrzennych cech sąsiedztwa. Niektóre z pierwotnych elementów osiedla utraciły swoją funkcję, co wraz z postępującą indywidualizacją przyczyniło się do osłabienia wspólnotowego charakteru osiedla. W artykule oparto się na teoretycznej koncepcji przywiązania do miejsca (place attachment) oraz społecznego tworzenia miejsca (social production of space). Celem artykułu jest sprawdzenie, czy i w jaki sposób mieszkańcy Solidarity są związani z miejscem i jak owo przywiązanie do miejsca ulega re/konceptualizacji w kontekście postsocjalistycznej, społeczno-przestrzennej transformacji osiedla.

scholarly journals Characteristic of rainfall in the flood period in DKI Jakarta in 1996, 2002, and 2007

2018 ◽  
Vol 229 ◽  
pp. 02012
Author(s):  
Mangapul Parlindungan Tambunan
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Topographic Map ◽  
Gis Tools ◽  
Spatial Approach ◽  
Flood Period ◽  
Geological Map ◽  
Map Data ◽  
Rain Data

Spatial and temporal studies of rain characteristics were carried out in DKI Jakarta. This study aims to: assess the rain characteristic as the cause of flood in DKI Jakarta. Flood is studied from geography using a spatial approach. The data collection of the physical condition of the landform is obtained through interpretation of Topographic Map, Geological Map, and RBI Map. Data on flood areas (area, depth, and length) were obtained from survey and flood incident data obtained from Kimpraswil (PU) of DKI Jakarta, and West Java, rain data obtained from BMKG. The analysis of spreading and spatial distribution is done spatially and temporally using Geographic Information System (GIS) tools, while rain analysis is done descriptively on a scale of 1: 50,000. The results of the research suggest that there are differences and similarities of rainy anomalies in the prone areas of flooding in DKI Jakarta.

scholarly journals USING GIS MEASURES TO ANALYZE THE SPATIAL EQUITY TO PUBLIC PAKISTAN IN LAHORE METROPOLITAN

2020 ◽  
Vol 28 (1) ◽  
pp. 8-19
Author(s):  
M. Ahmed Al-Rashid
Keyword(s):  
Spatial Distribution ◽  
Primary Source ◽  
Walking Distance ◽  
Local Context ◽  
Analysis Tool ◽  
Public Parks ◽  
Equitable Access ◽  
Hotspot Analysis ◽  
Community Assets ◽  
Gis Tools

Public parks are considered as the prime community assets that provide places for the citizens to enjoy and spend their leisure time. Parks can serve as the primary source not only incorporating physical activities but also improving quality of life of residents. Equitable access to these services is one of the major concerns worldwide. However, a little attention is paid, in this regard, in the local context. This paper utilizes GIS tools and analyzes the equitable access to urban parks in the Lahore Metropolitan Area, with reference to its spatial distribution. The measures of access for the parks are computed for population depending upon the type of facility at the administrative Zone level. The accessibility to parks is measured using walking distance impedance and proximity analysis tool. The study further evaluates the spatial distribution of parks about population density and examine if differences are observed across different administrative Zones in the Metropolitan. The least served areas and populations have been derived in spatial context across the study area. Moreover, maps prepared using hotspot analysis in GIS help to visually identify the spatial disparities and compare the differences among different administrative Zones in the study area. It allows understanding of how different parks in the metropolitan are distributed through space, and hence help in combating inequitable access. The results of this research can assist the planning authorities in identifying the spatial gaps in accessibility and addressing the needs for improving the accessibility to public parks across different Zones in the Metropolitan.

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