Spatial distribution of chlorophyll concentration seasonal dynamics types in the ocean based on the autocorrelation analysis of SeaWiFS data

2006 ◽  
Vol 38 (10) ◽  
pp. 2176-2181 ◽  
Author(s):  
A. Shevyrnogov ◽  
G. Vysotskaya
Keyword(s):  
Spatial Distribution ◽  
Seasonal Dynamics ◽  
Chlorophyll Concentration ◽  
Autocorrelation Analysis

Spatial Distribution and Seasonal Dynamics of the Chlorophyll a Concentration in the Sea of Azov Based on MERIS Images

Oceanology ◽  
2018 ◽  
Vol 58 (5) ◽  
pp. 689-699 ◽  
Author(s):  
V. V. Saprygin ◽  
S. V. Berdnikov ◽  
V. V. Kulygin ◽  
L. V. Dashkevich ◽  
L. M. Mestetskiy
Keyword(s):  
Spatial Distribution ◽  
Chlorophyll A ◽  
Seasonal Dynamics ◽  
Sea Of Azov ◽  
Chlorophyll A Concentration ◽  
The Sea Of Azov

scholarly journals The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Ying Wang ◽  
Yongli Yang ◽  
Xuezhong Shi ◽  
Saicai Mao ◽  
Nian Shi ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Immune Deficiency Syndrome ◽  
Deficiency Syndrome ◽  
Cumulative Number ◽  
Autocorrelation Analysis ◽  
Aids Epidemic ◽  
Immunodeficiency Virus ◽  
Acquired Immune Deficiency ◽  
Hiv Aids

Human immunodeficiency virus (HIV) infection and the acquired immune deficiency syndrome (AIDS) exhibit variable patterns among the provinces of China. Knowledge of the geographical distribution of the HIV/AIDS epidemic is needed for the prevention and control of AIDS. Thus, the cumulative number of reported cases of HIV/AIDS from the period 1985-2013, and the incidence rate of AIDS in 2013 were determined. Spatial autocorrelation analysis and hotspot analysis were conducted using ArcGIS10.2 to explore the spatial distribution of the HIV/AIDS epidemic. Both the thematic map and the global spatial autocorrelation Moran’s I statistics revealed a clustered distribution of the spatial pattern. A local spatial autocorrelation analysis indicated hotspots of AIDS incidence rate that were confined to the provinces of Guangxi, Yunnan and Sichuan. The hotspots encompassed Guangxi and Yunnan, while Henan Province displayed a negative autocorrelation with more variable numbers that included neighbouring regions. The <em>Getis-Ord G<sub>i</sub><sup>*</sup></em> statistics identified 6 hotspots and 8 coldspots for the incidence of AIDS, and 7 hotspots and 1 coldspot for the cumulative number of reported cases of HIV/AIDS. The spatial distribution pattern of the HIV/AIDS epidemic in China is clustered, demonstrating hotspots located in the Southwest. Specific interventions targeting provinces with severe HIV/AIDS epidemic are urgently needed.

scholarly journals Spatial distribution and seasonal dynamics of non-biting moth flies (Diptera, Psychodidae) in confound conditions of a stable

2020 ◽  
Vol 89 (4 - Ahead of print) ◽  
pp. 190-199
Author(s):  
Marek Semelbauer ◽  
Jozef Oboňa ◽  
Marek Barta ◽  
Barbara Mangová ◽  
Milan Kozánek
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
High Temperature ◽  
Seasonal Dynamics ◽  
Life Style ◽  
Flight Period ◽  
Internal Wall ◽  
Biting Midges ◽  
Malaise Traps

Many small Diptera adopted at some level endophilic life style, including man-made buildings. Stables create a specific type of microhabitat, which provides shady and relatively humid conditions in combination with excess of organic matter. Unlike the parasites (mosquitos, biting midges, etc.), the commensal fauna of stables is poorly studied. Moth flies (Psychodidae) were collected in cow stable located in Šenkvice, SW Slovakia. Special traps (derived from Malaise traps) were installed along the stable internal wall and in three different heights. In total, we recorded 6325 moth flies belonging to 8 species. The flight period lasted from spring to autumn. Seasonal dynamics was strongly influenced by rainfall and mean week temperature, e.g. high temperature in mid-summer caused drop in moth flies captures. The moth flies clearly preferred the ground and moderately preferred the interior of stable.

scholarly journals Seasonal dynamics and spatial distribution pattern of Parapoynx crisonalis (Lepidoptera: Crambidae) on water chestnuts

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0184149 ◽  
Author(s):  
Ni Li ◽  
Qi Chen ◽  
Jie Zhu ◽  
Xing Wang ◽  
Jian-Bin Huang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Seasonal Dynamics ◽  
Spatial Distribution Pattern

Seasonal Dynamics and Spatial Distribution of theDactylogyrusSpecies on the Gills of Grass Carp (Ctenopharyngodon idellus) from a Fish Pond in Wuhan, China

2016 ◽  
Vol 102 (5) ◽  
pp. 507-513 ◽  
Author(s):  
Bao J. Yang ◽  
Hong Zou ◽  
Shun Zhou ◽  
Shan G. Wu ◽  
Gui T. Wang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Seasonal Dynamics ◽  
Grass Carp ◽  
Fish Pond ◽  
Ctenopharyngodon Idellus

Seasonal dynamics, spatial distribution and genetic analysis of Anaplasma species infecting small ruminants from Northern Tunisia

2017 ◽  
Vol 54 ◽  
pp. 66-73 ◽  
Author(s):  
Hanène Belkahia ◽  
Mourad Ben Said ◽  
Narjesse El Mabrouk ◽  
Mariem Saidani ◽  
Chayma Cherni ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Genetic Analysis ◽  
Seasonal Dynamics ◽  
Small Ruminants ◽  
Northern Tunisia

scholarly journals Zooplankton communities in the Drake Passage through environmental boundaries: a snapshot of 2010, early spring

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7994
Author(s):  
Andrey A. Vedenin ◽  
Eteri I. Musaeva ◽  
Daria N. Zasko ◽  
Alexander L. Vereshchaka
Keyword(s):  
Spatial Distribution ◽  
Environmental Factors ◽  
Chlorophyll Concentration ◽  
Environmental Parameters ◽  
Drake Passage ◽  
Early Spring ◽  
Zooplankton Abundance ◽  
Depth Range ◽  
Zooplankton Structure ◽  
Zooplankton Communities

Background Spatial distribution of zooplankton communities influenced by various environmental factors is always important for understanding pelagic ecosystems. The area of the Drake Passage (Southern Ocean) is of particular interest owing to the high spatial and temporal variability of hydrological parameters affecting marine fauna. This study provides a survey of zooplankton composition and spatial distribution along a transect in the Drake Passage sampled during the 31th Cruise of RV “Akademik Sergey Vavilov” in November, 2010. The main aim was to trace the main regularities in spatial zooplankton structure and its relationships with the environmental parameters. Methodology A total of 43 vertical hauls from the surface to 1,000 m depth were made at 13 stations using the Juday plankton net. 60 taxa were recorded, abundance and biomass of each were assessed. Environmental parameters including temperature, salinity, depth, horizontal distance between stations and surface chlorophyll concentration were tested as environmental factors possibly explaining plankton distribution. Results Higher zooplankton abundance and biomass with lower diversity were observed near the Polar Front. Cluster analysis revealed five different groups of zooplankton samples, four of which were arranged mostly by depth. Along the transect within the 1,000 m depth range, the qualitative taxonomical composition differed significantly with depth and to some extent differed also among horizontal hydrological regimes, while the quantitative structure of the communities (abundance of taxa) was mainly determined by depth. Plankton assemblages within the upper 300-m layer depended on hydrological fronts. Abundance of dominant taxa as well as total zooplankton abundance showed a clear correlation with depth, salinity and surface chlorophyll concentration. Some taxa also showed correlations with temperature and latitude. Between the stations the similarity in zooplankton structure was clearly dependent on the distance among them which indicates an importance of latitudinal gradient. Surface chlorophyll concentration was not correlated with zooplankton biomass, which can be explained by the uncompleted seasonal migrations of zooplankton from deeper waters in early spring.

scholarly journals ANALYZING THE SPATIOTEMPORAL DISTRIBUTION OF DIFFERENT INDUSTRIES IN WUHAN CITY USING ENTERPRISE REGISTRATION DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 5-10 ◽  
Author(s):  
Z. Cui ◽  
G. Xie ◽  
Z. Gui ◽  
H. Wu
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Spatiotemporal Distribution ◽  
Urban Structure ◽  
Spatial Autocorrelation Analysis ◽  
Autocorrelation Analysis ◽  
Wuhan City ◽  
Intensity Index ◽  
Registration Data ◽  
Spatiotemporal Information

Enterprises are the basis of urban economic development and an essential factor that affects urban structure. It is of great significance to study the spatiotemporal distribution of enterprises to benefit cities planning and development. Based on the enterprises registration data of Administrator for Industry and Commerce of Wuhan from 1996 to 2007, in this paper, we analysed the spatiotemporal distribution of enterprises in Wuhan city. We divided Wuhan into 2,356 square grids with a length of 2 km and counted the number of enterprises of different industry categories in each grid. Then we calculated the aggregation intensity index of enterprises in each grid. With the method of global spatial autocorrelation analysis, we discovered the change of the degree of enterprise agglomeration for different industry categories in different periods. We also used local autocorrelation analysis to find the hotspots of enterprise distribution areas furtherly and discover the changes of the location of the hotspots during each period. Based on the two analyses and context information of Wuhan city, we can know the features of spatiotemporal distribution of enterprises. It can be concluded that the spatial distribution of enterprises could be reflected directly by spatial autocorrelation analysis. Moreover, the enterprises registration data with fine-grained enterprises spatiotemporal information can support the research of spatial distribution and evolution of enterprises. This study can show how different industry categories developed and provide reference to urban geography to help cities plan the distribution of enterprises and help enterprises decide its location.

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