Multi-scale spatial analysis of human alveolar echinococcosis risk in China

Parasitology ◽  
2003 ◽  
Vol 127 (S1) ◽  
pp. S133-S141 ◽  
Author(s):  
F. M. DANSON ◽  
A. J. GRAHAM ◽  
D. R. J. PLEYDELL ◽  
M. CAMPOS-PONCE ◽  
P. GIRAUDOUX ◽  
...  
Keyword(s):  
Spatial Data ◽  
Disease Transmission ◽  
Spatial Scales ◽  
Regional Scale ◽  
Central China ◽  
Spatial Data Analysis ◽  
Transmission Risk ◽  
Spatial Proximity ◽  
Human Populations ◽  
Remotely Sensed Data

Risk factors for the transmission of Echinococcus multilocularis to humans operate at a range of spatial scales. Over a large area, such as China, regional scale risk is correlated with variation in climatic conditions because of its effect on the spatial distribution of landscapes that can support E. multilocularis transmission in wildlife hosts and the probability of egg survival. At a local scale of a few kilometres, or tens of kilometres, transmission risk is related to the spatial proximity of human populations and landscapes with active transmission. At the patch scale, when considering individual villages or households, human behavioural factors are important and for individuals genetic and immunological factors play a role. Satellite remote sensing can provide landscape information at a range of spatial scales and provide a spatial framework within which to examine transmission patterns. This paper reviews the application of remotely sensed data and spatial data analysis to develop a better understanding of disease transmission and shows how such data have been used to examine human alveolar echinocossosis infection patterns, at a range of spatial scales, in an endemic area in central China.

Spatial Disequilibrium Development and its Policies of Central China: The Case of Hubei Province

2013 ◽  
Vol 361-363 ◽  
pp. 160-167
Author(s):  
Yun Liu ◽  
Li Li Chang ◽  
Chong Peng
Keyword(s):  
Spatial Data ◽  
Statistical Data ◽  
Global Analysis ◽  
Spatial Differentiation ◽  
Hubei Province ◽  
Central China ◽  
Spatial Data Analysis ◽  
Economic Space ◽  
Reasonable Choice ◽  
Disequilibrium Theory

Central China is progressively paving its way to the second carrier of Chinese population after the east coastal areas with disequilibrium theory as the guidance of provincial spatial development. Based on ESDA (exploratory spatial data analysis) with statistical data of GDP per capita of Hubei Province by county-level (2000-2010), this paper reveals the spatial differentiation characteristics of economic differences among counties in Hubei Province. According to global analysis of ArcGIS and GeoDA095i, economic space of the county presents the trend of climbing up and then declining. Besides, differences between counties are remarkable. The LISA clean-cut indicates different developed and underdeveloped districts. Finally, contrasting to policy response that the provinces cope with disequilibrium theory in Central China, the results show that the Central China continues to promote disequilibrium development is a reasonable choice, and it’s also indispensible to pay attention to controlling magnification of differences in regional development.

scholarly journals Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Caitlin E. Mertzlufft ◽  
Marguerite Madden ◽  
Nicole L. Gottdenker ◽  
Julie Velásquez Runk ◽  
Azael Saldaña ◽  
...  
Keyword(s):  
Chagas Disease ◽  
Disease Transmission ◽  
Secondary Forest ◽  
Regional Scale ◽  
Human Populations ◽  
Chi Square ◽  
Landscape Disturbance ◽  
Residential Settings ◽  
Close Proximity ◽  
Central Panama

Abstract Background Increased Attalea butyracea palm propagation, notable for its role as key habitat for the primary Chagas disease vector in Panama, has been linked to landscape disturbance in single-palm observations in this region. Close proximity of these palms to human dwellings is proposed to increase risk of Chagas disease transmission from sylvatic transmission cycles to domestic transmission involving human populations. This study examines the relationship between landscape disturbance and mature A. butyracea spatial distribution, density, and proximity to human populations and vector and reservoir species’ movement corridors at a regional scale in a 300 km2 heterogeneous tropical landscape in central Panama. Methods We remotely identified the locations of over 50,000 mature A. butyracea palms using high-resolution WorldView2 satellite imagery. A local Getis-Ord Gi* spatial analysis identified significant clusters of aggregated palms. Associations between palm and cluster abundance and a landscape disturbance gradient, derived from official Panama land cover data, were tested using Chi-square tests for Homogeneity and Z-test for proportions. Kruskall-Wallis non-parametric analysis of variance tests were run to assess whether palm cluster area varied by disturbance level, or whether disturbance was associated with proximity of palms and palm clusters to susceptible populations or vector movement corridors. Results Our findings indicate a regional relationship between landscape disturbance and A. butyracea occurrence. We observe a significant increase in both individual and clustered A. butyracea in secondary forest, but a reduction of palms in agricultural settings. We do not detect evidence of any reduction in abundance of palms in residential settings. The majority of residential and commercial buildings in our study area are within vector flight distance of potential vector habitat in palm crowns. Conclusions We observe probable anthropogenic elimination of A. butyracea palms in agricultural, but not residential, settings. Even in heavily deforested regions, significant concentrations of mature palms remain in close proximity to human establishments.

Spatial data analysis and integration for regional-scale geothermal potential mapping, West Java, Indonesia

Geothermics ◽  
2008 ◽  
Vol 37 (3) ◽  
pp. 267-299 ◽  
Author(s):  
Emmanuel John M. Carranza ◽  
Hendro Wibowo ◽  
Sally D. Barritt ◽  
Prihadi Sumintadireja
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Regional Scale ◽  
Spatial Data Analysis ◽  
West Java ◽  
Geothermal Potential ◽  
Potential Mapping

scholarly journals The impact of environmental factors on distribution of Scops Owl Otus scops in the wider area of Kras (SW Slovenia)

Acrocephalus ◽  
2011 ◽  
Vol 32 (148-149) ◽  
pp. 11-28 ◽  
Author(s):  
Tina Šušmelj
Keyword(s):  
Environmental Factors ◽  
Spatial Data ◽  
Goodness Of Fit ◽  
Agricultural Land ◽  
Population Distribution ◽  
Spatial Scales ◽  
Regional Scale ◽  
Goodness Of Fit Test ◽  
The Impact ◽  
Sw Slovenia

The impact of environmental factors on distribution of Scops Owl Otus scops in the wider area of Kras (SW Slovenia) The aim of the study was to determine the key environmental factors affecting Scops Owl Otus scops occurrence in the wider Kras plateau area (SW Slovenia, 665 km2). Scops Owl was systematically censused in 2006 (180 calling males) and in 2008 (167 calling males). Males were distributed either solitarily or clumped in groups, mostly situated in villages and its surroundings, indicating the species' synanthropic character. Crude densities were 0.3 males/km2 in 2006 and 2008, respectively, while ecological densities were 1.0 males/km2 in 2006 and 0.9 males/km2 in 2008. Population distribution remained roughly the same in both years, with the highest densities in the western and central parts of the Kras plateau, on Kraški rob and on Podgorski kras plateau. Habitat selection was analyzed at three spatial scales (regional, settlement and territory scales), based on spatial data layers (22 environmental variables), using Chi-square goodness-of-fit test and logistic regression. Results revealed that at the regional scale, Scops Owl preferably selected open habitats (extensively managed orchards, built-up areas, vineyards, permanent grasslands) and avoided dense forest and agricultural land with forest trees. As far as settlements were concerned, Scops Owl was more prone to select those that were more distant from the highway, with better preserved traditional agricultural landscape (with more hedgerows) and with higher average annual air temperature. In territory selection, Scops Owl occurrence was associated with longer distance from the highway, larger number of old buildings and higher landscape mosaics. The species seems to be threatened by traffic noise, habitat loss through abandonment and intensification of land and, potentially, by lack of breeding niches within settlements. Conservation measures should include the preservation of mosaic farmland, promotion of extensive agricultural practices, prevention of scrub and forest expansion, and maintenance of breeding niches (old trees, cavities in buildings).

scholarly journals Measuring Spatial Cluster for Leading Industries in Surakarta with Exploratory Spatial Data Analysis (ESDA)

2017 ◽  
Vol 18 (1) ◽  
pp. 64
Author(s):  
Muhammad Arif ◽  
Didit Purnomo
Keyword(s):  
Data Analysis ◽  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Regional Scale ◽  
Industrial Sector ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Spatial Approach ◽  
Leading Industry ◽  
The City

Economic clusters are significant to support the economic growth, particularly at regional scale. The approach in the analysis has evolved from the emphasis on the comparison between the intra and extra regional into the spatial approach that is capable to detect the prevailing movement and concentration pattern in particular economic activity, hence the generated data is more informative and analyzable. This paper concentrates in identifying the location and assessing the economic clusters of leading industries in Surakarta City, Indonesia based on the number of units and labor absorption by using the Exploratory Spatial Data Analysis (ESDA). In association with the first objective, ArcGis was employed to find out how the concentration of leading industries in Surakarta was formed. The analysis revealed that the industries in Surakarta City have a propensity to be remote from downtown and concentrated in the northern part of the city. The second objective was revealed by performing the Moran’s index on GeoDa software to determine the spatial autocorrelation among the observed areas as the basis in finding the leading industrial cluster. The analysis indicated that all leading industries have relatively low Moran’s index meaning there was no dominant leading industry in Surakarta. These results have been confirmed by the LISA method to reveal the areas having spatial autocorrelation for each industrial sector.

Spatial data analysis for exploration of regional scale geothermal resources

2013 ◽  
Vol 266 ◽  
pp. 69-83 ◽  
Author(s):  
Majid Kiavarz Moghaddam ◽  
Younes Noorollahi ◽  
Farhad Samadzadegan ◽  
Mohammad Ali Sharifi ◽  
Ryuichi Itoi
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Regional Scale ◽  
Spatial Data Analysis ◽  
Geothermal Resources

scholarly journals Effects of Different Spatial Precipitation Input Data on Crop Model Outputs under a Central European Climate

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 290 ◽  
Author(s):  
Sabina Thaler ◽  
Luca Brocca ◽  
Luca Ciabatta ◽  
Josef Eitzinger ◽  
Sebastian Hahn ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Spatial Data ◽  
Crop Production ◽  
Input Data ◽  
Spring Barley ◽  
Regional Scale ◽  
Temporal Analysis ◽  
Spatial Data Analysis ◽  
Distributed Model ◽  
Precipitation Data

Crop simulation models, which are mainly being utilized as tools to assess the consequences of a changing climate and different management strategies on crop production at the field scale, are increasingly being used in a distributed model at the regional scale. Spatial data analysis and modelling in combination with geographic information systems (GIS) integrates information from soil, climate, and topography data into a larger area, providing a basis for spatial and temporal analysis. In the current study, the crop growth model Decision Support System for Agrotechnology Transfer (DSSAT) was used to evaluate five gridded precipitation input data at three locations in Austria. The precipitation data sets consist of the INtegrated Calibration and Application Tool (INCA) from the Meteorological Service Austria, two satellite precipitation data sources—Multisatellite Precipitation Analysis (TMPA) and Climate Prediction Center MORPHing (CMORPH)—and two rainfall estimates based on satellite soil moisture data. The latter were obtained through the application of the SM2RAIN algorithm (SM2RASC) and a regression analysis (RAASC) applied to the Metop-A/B Advanced SCATtermonter (ASCAT) soil moisture product during a 9-year period from 2007–2015. For the evaluation, the effect on winter wheat and spring barley yield, caused by different precipitation inputs, at a spatial resolution of around 25 km was used. The highest variance was obtained for the driest area with light-textured soils; TMPA and two soil moisture-based products show very good results in the more humid areas. The poorest performances at all three locations and for both crops were found with the CMORPH input data.

scholarly journals Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama

2020 ◽  
Author(s):  
Caitlin Mertzlufft ◽  
Marguerite Madden ◽  
Nicole Gottdenker ◽  
Julie Velasquez Runk ◽  
Azael Saldaña ◽  
...  
Keyword(s):  
Chagas Disease ◽  
Disease Transmission ◽  
Secondary Forest ◽  
Regional Scale ◽  
Human Populations ◽  
Chi Square ◽  
Landscape Disturbance ◽  
Residential Settings ◽  
Close Proximity ◽  
Central Panama

Abstract Background: Increased Attalea butyracea palm propagation, notable for its role as key habitat for the primary Chagas disease vector in Panama, has been linked to landscape disturbance in single-palm observations in this region. Close proximity of these palms to human dwellings is proposed to increase risk of Chagas disease transmission from sylvatic transmission cycles to domestic transmission involving human populations. This study examines the relationship between landscape disturbance and mature A. butyracea spatial distribution, density, and proximity to human populations and vector and reservoir species’ movement corridors at a regional scale in a 300-km2 heterogeneous tropical landscape in central Panama.Methods: We remotely identified the locations of over 50,000 mature A. butyracea palms using high-resolution WorldView2 satellite imagery. A local Getis-Ord Gi* spatial analysis identified significant clusters of aggregated palms. Associations between palm and cluster abundance and a landscape disturbance gradient, derived from official Panama land cover data, were tested using Chi-square tests for Homogeneity and Z-test for proportions. Kruskall-Wallis non-parametric analysis of variance tests were run to assess whether palm cluster area varied by disturbance level, or whether disturbance influenced average proximity of palms and palm clusters to susceptible populations or vector movement corridors.Results: Our findings indicate a regional relationship between landscape disturbance and A. butyracea occurrence. We observe a significant increase in both individual and clustered A. butyracea in secondary forest, but a reduction of palms in agricultural settings. We do not detect evidence of any reduction in abundance of palms in residential settings. A majority of residential and commercial buildings in our study area are within vector flight distance of potential vector habitat in palm crowns.Conclusions: We observe probable anthropogenic elimination of A. butyracea palms in agricultural, but not residential, settings. Even in heavily deforested regions, significant concentrations of mature palms remain in close proximity to human establishments.

scholarly journals Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama

2020 ◽  
Author(s):  
Caitlin Mertzlufft ◽  
Marguerite Madden ◽  
Nicole Gottdenker ◽  
Julie Velasquez Runk ◽  
Azael Saldaña ◽  
...  
Keyword(s):  
Chagas Disease ◽  
Disease Transmission ◽  
Secondary Forest ◽  
Regional Scale ◽  
Human Populations ◽  
Chi Square ◽  
Landscape Disturbance ◽  
Residential Settings ◽  
Close Proximity ◽  
Central Panama

Abstract Background: Increased Attalea butyracea palm propagation, notable for its role as key habitat for the primary Chagas disease vector in Panama, has been linked to landscape disturbance in single-palm observations in this region. Close proximity of these palms to human dwellings is proposed to increase risk of Chagas disease transmission from sylvatic transmission cycles to domestic transmission involving human populations. This study examines the relationship between landscape disturbance and mature A. butyracea spatial distribution, density, and proximity to human populations and vector and reservoir species’ movement corridors at a regional scale in a 300-km2 heterogeneous tropical landscape in central Panama.Methods: We remotely identified the locations of over 50,000 mature A. butyracea palms using high-resolution WorldView2 satellite imagery. A local Getis-Ord Gi* spatial analysis identified significant clusters of aggregated palms. Associations between palm and cluster abundance and a landscape disturbance gradient, derived from official Panama land cover data, were tested using Chi-square tests for Homogeneity and Z-test for proportions. Kruskall-Wallis non-parametric analysis of variance tests were run to assess whether palm cluster area varied by disturbance level, or whether disturbance was associated with proximity of palms and palm clusters to susceptible populations or vector movement corridors.Results: Our findings indicate a regional relationship between landscape disturbance and A. butyracea occurrence. We observe a significant increase in both individual and clustered A. butyracea in secondary forest, but a reduction of palms in agricultural settings. We do not detect evidence of any reduction in abundance of palms in residential settings. The majority of residential and commercial buildings in our study area are within vector flight distance of potential vector habitat in palm crowns.Conclusions: We observe probable anthropogenic elimination of A. butyracea palms in agricultural, but not residential, settings. Even in heavily deforested regions, significant concentrations of mature palms remain in close proximity to human establishments.

Pedestrian Fatal Crash Location Analysis in Ohio using Exploratory Spatial Data Analysis Techniques

2020 ◽  
Vol 2674 (11) ◽  
pp. 888-900
Author(s):  
Rebekka E. Apardian ◽  
Bhuiyan Monwar Alam
Keyword(s):  
Spatial Data ◽  
Nearest Neighbor ◽  
Spatial Scales ◽  
The State ◽  
Sustainable Transportation ◽  
Spatial Data Analysis ◽  
Aggregated Data ◽  
Fatal Crash ◽  
Cold Spots ◽  
Pedestrian Crashes

Pedestrian safety is a top priority within the transportation planning community as cities promote sustainable transportation, alternative travel modes, and healthy lifestyles. If people feel unsafe while walking, they will choose other modes of transportation if they are able. To prioritize safety, it is important to know where pedestrian crashes are occurring and with what severity. Using spatial statistical methods including nearest neighbor index, Moran’s I, local indicators of spatial autocorrelation (LISA), and Getis-Ord G-statistic, this study seeks to analyze the pedestrian fatality locations within the state of Ohio over a 10-year period (2007–2016) to identify hot spots, cold spots, and spatial patterns across three different spatial scales: county, census tract, and traffic analysis zone (TAZ). It seeks to understand the effects of aggregated data across these spatial scales on the outcome of the analysis and determine the most useful spatial scale at which to study pedestrian fatalities. The study concludes that spatial analyses at small scales are most informative. It goes on to recommend locations within Ohio for further analysis based on the resulting maps, including areas with outliers. As of writing this, there is no current statewide pedestrian fatality analysis for the state of Ohio.

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