Academic literature on the topic 'Spatial distribution'

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Journal articles on the topic "Spatial distribution"

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Караханян, Ашхен, Ashhen Karakhanyan, Сергей Молодых, and Sergey Molodykh. "Spatial distribution of temperature during geomagnetic disturbances." Solar-Terrestrial Physics 4, no. 4 (December 21, 2018): 59–62. http://dx.doi.org/10.12737/stp-44201808.

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We propose an index of efficiency of the solar activity effect on the tropospheric temperature, which takes into account the spatial irregularity of the response to this effect. As a proxy of solar activity we take the PC index of geomagnetic activity, designed to monitor the geomagnetic field at high latitudes. Using NCEP/NCAR reanalysis data, we carry out a comparative analysis of variations in the proposed index and lower-troposphere temperature variations during geomagnetic disturbances. We identify the presence of a high degree of correlation between the temperature in the 925–700 hPa layer and the proposed index of solar activity effect. The spatio-temporal analysis of the index and temperature variations shows that the index of effi-ciency of the solar activity effect describes well both the value and the sign of the observed variations in the spa-tial distribution of the lower-troposphere temperature as compared to the frequently used index of geomagnetic activity.
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Murtadho, Alfin, Andrea Emma Pravitasari, Khursatul Munibah, and Ernan Rustiadi. "Spatial Distribution Pattern of Village Development Index in Karawang Regency Using Spatial Autocorrelation Approach." JURNAL PEMBANGUNAN WILAYAH & KOTA 16, no. 2 (June 30, 2020): 102–11. http://dx.doi.org/10.14710/pwk.v16i2.24883.

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Jabodetabek and Greater Bandung Metropolitan areas experiencing the phenomenon of urban expansion which has caused both metropolitan areas to be more connected and become a mega-urban area by a corridor through a conurbation process. Karawang regency is part of the region in the Jakarta-Bandung corridor. The increasing number of population in the region will encourage the addition of number and types of public facilities. The objectives of this study were to analyze the regional development and spatial distribution pattern of the Village Development Index/ Indeks Perkembangan Desa (IPD) in Karawang regency. Regional development was analyzed using scalogram analysis, while spatial distribution pattern of the IPD was analyzed using Global and Local Moran Index. Regional development analysis shows the distribution of the IPD in 2014 has increased from 2003. Analysis of spatial distribution pattern of IPD values from 2003 and 2014 shows the clustered distribution patterns in some sub-districts.
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Ertan, Hayri. "Exploratory spatial analysis of hit distribution in archery." International Journal of Academic Research 5, no. 6 (December 10, 2013): 112–18. http://dx.doi.org/10.7813/2075-4124.2013/5-6/a.15.

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Cardina, John, Gregg A. Johnson, and Denise H. Sparrow. "The nature and consequence of weed spatial distribution." Weed Science 45, no. 3 (June 1997): 364–73. http://dx.doi.org/10.1017/s0043174500092997.

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Seed dispersal, interacting with environmental disturbance and management across heterogeneous landscapes, results in irregular weed spatial distributions. Describing, predicting, and managing weed populations requires an understanding of how weeds are distributed spatially and the consequences of this distribution for population processes. Semivariograms and kriged maps of weed populations in several fields have helped describe spatial structure, but few generalizations can be drawn except that populations are aggregated at one or more scales. Limited information is available on the effect of weed arrangement, pattern, or field location on weed population processes. Because weeds are neither regular nor uniform in distribution, mean density alone is of limited value in estimating yield loss or describing population dynamics over a whole field. Sampling strategies that account for spatial distribution can increase sampling efficiency. Further research should focus on understanding processes that cause changes in spatial distributions over time to help predict rates of invasion and potential extent of colonization.
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Chu, Yaoquan, and LiZhi Fang. "Spatial Distribution of Quasars." Symposium - International Astronomical Union 124 (1987): 627–38. http://dx.doi.org/10.1017/s0074180900159650.

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The distribution of quasars has become one of the most interesting problems in observational cosmology. This is due mainly to the development of theory of the formation of large scale structure in the universe. In recent years, several scenarios of clustering have been proposed. In the adiabatic case, the clustering process is from larger scales to smaller ones, i.e., the first systems to form out would be on the scale of superclusters, then these systems fragment to form smaller scale systems such as galaxies. In the isothermal case, the clustering is from smaller scales to larger ones, namely, galaxies condense out at first and larger scale systems, such as clusters and superclusters, then form later via hierachical build-up processes. In the universe contain two components, the scenario of clustering might be different from both standard adiabatic and isothermal cases(1). According to this new scenario, there should be two kinds of small scale objects, one is formed due to fragment of larger scale systems, another is formed before large scale systems form.
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Malumian, V. H., and A. N. Harutyunyan. "Spatial Distribution of Pulsars." Astrophysics 47, no. 4 (October 2004): 568–72. http://dx.doi.org/10.1023/b:asys.0000049796.89898.01.

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Lioutas, Anestis, Gregory M. Smith, and Henk Jan Verhagen. "SPATIAL DISTRIBUTION OF OVERTOPPING." Coastal Engineering Proceedings 1, no. 33 (December 14, 2012): 63. http://dx.doi.org/10.9753/icce.v33.structures.63.

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The scope of this research is to find an empirical formula to describe the distribution of wave overtopping in the region behind the crest. A physical model was set up in which irregular waves were generated. In order to find a formula which adequately describes the test observations, the influence of several parameters has been analysed. The proper determination of the crest freeboard, which is a dominant factor, has been investigated. Finally, the test results have been used to assess and compare the existing relevant computational methods.
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Meyer, F. J., and D. K. Pradhan. "Modeling defect spatial distribution." IEEE Transactions on Computers 38, no. 4 (April 1989): 538–46. http://dx.doi.org/10.1109/12.21146.

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Nagatani, Akira. "Spatial distribution of phytochromes." Journal of Plant Research 110, no. 1 (March 1997): 123–30. http://dx.doi.org/10.1007/bf02506851.

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Fischer, Helmut, Martin Pusch, and Jürgen Schwoerbel. "Spatial distribution and respiration of bacteria in stream-bed sediments." Archiv für Hydrobiologie 137, no. 3 (September 5, 1996): 281–300. http://dx.doi.org/10.1127/archiv-hydrobiol/137/1996/281.

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Dissertations / Theses on the topic "Spatial distribution"

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Goldschmidt, Caroline Rachel. "The spatial distribution of quasars." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/28120.

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This thesis is concerned with the cosmological evolution of quasars. I describe the construction of the Edinburgh Multicolour Survey from COSMOS scans of UK Schmidt photographic plates, taken in UBVRI wavebands at high galactic latitude in a contiguous area of 0.1 steradians (13 UK Schmidt fields). Two plates are taken close together in time in each waveband in each field so that spurious detections can be eliminated, and the errors on the measured magnitudes reduced. The raw COSMOS datasets were calibrated using photoelectric and CCD sequences in each waveband in each field. Systematic errors in the calibration due to "field effects" (variations in image size across each plate) are minimised by using the colours of the stars on each plate. Differences between the plates in each waveband are minimised. Differences in each waveband between fields are minimised by using the spatial distribution of stars in the survey, and requiring it to be uniform across the whole survey area. The calibration of the "worst" (as judged by the level of field effects) is tied in with that of the "best" plates. The final dataset is uniformly and accurately calibrated across the entire survey area. The systematic error in the COSMOS-measured magnitudes at B = 15 - 16 is 0.01m. The rms error at B = 17 - 18 (where most of the quasars are) is 0.09m. The Edinburgh Multicolour Survey was used to select a sample of bright UVX candidates. I then describe how follow-up spectroscopy was carried out to determine the nature of the candidates, and in the case of the quasars, to measure their redshifts. I compare the surface density of quasars found in this way to that measured by previous surveys, in particular the Palomar-Green Survey (Schmidt & Green 1983).
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South, Andrew Brian. "Modelling the spatial distribution of mammals." Thesis, University of Newcastle Upon Tyne, 1999. http://hdl.handle.net/10443/175.

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In this thesis I outline the different processes, operating at different scales, that influence the spatial distribution of mammals and review modelling approaches that have been used to represent these processes. I investigate the application of a selection of modelling approaches operating at different scales. A model based on the energetics and movements of individual foragers was developed to investigate population spacing patterns and applied to the red squirrel. At high food densities, small, similarly sized, non overlapping ranges were generated, whereas at low food densities ranges were larger, more overlapping and more variable in size. The model is a first step towards investigating the spacing patterns of ranging mammals. A model representing the positioning of dens was applied to predict the distribution of badger main setts. The model determined how many setts could be placed in suitable habitats while maintaining a pre-defined, minimum inter-sett distance. The representation of badger spacing behaviour and the utility of the approach is discussed. At a larger scale, a model based upon births and deaths within habitat patches and an explicit representation of dispersal between patches was used to assess plans to reintroduce the beaver. It predicted little or no population spread, in contrast to the application of a generic population viability analysis package that predicted rapid population spread. A difference in the representation of dispersal was identified as the most likely cause of the disparity. A general model based on these approaches was developed to investigate the interaction between dispersal and demographic processesing spatially explicit population models. The future of models to predict the spatial distribution of mammals is discussed in relation to issues of scale, management applications and modelling philosophies.
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Alqarni, M. S. "Spatial temporal distribution of helical gyrotactic swimmers." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3024800/.

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We consider a spherical swimmer that undergoes helical motion due to the existence of a propulsive torque which is not parallel to a propulsive force that pulls the cell through the fluid. In addition, the cell is bottom-heavy; the centre of gravity is offset from the centre of buoyancy which generates a gravitational torque. In the presence of shear, fluid viscosity generates a further torque. Because cells swim at low Reynolds number, these torques are balanced. This thesis extends the model developed in Bearon (2013) in two distinct directions. Firstly, we consider an extension to the case of a flow where the shear varies with position. We consider a downward flow in a vertical channel. We observe that depending on the parameters, cells may exhibit the classical accumulation towards the centre of the channel or display a new focussing away from the centre. Secondly, we develop the model to describe randomness associated with changes in cell orientation. This is done by developing a Fokker-Planck equation for helical swimmers in terms of Euler angles. The classical Fokker-Planck equation obtained by Pedley and Kessler (1992) is a special case of the equation derived in this thesis. To implement this model numerically as an individual based model, we derive the corresponding stochastic differential equations. The Fokker-Planck equation and stochastic differential equation are extended to examine the spatial-temporal distribution of helical swimmers. We explore in detail how the horizontal distribution of cells in channel flow evolves to an equilibrium state, and how the evolution depends on the model parameters. For non-helical swimmers, we compare the result of the model to the recent experiments of Croze et al (2017).
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Treece, James Paul Wang Foulkes Matthew Walton. "Payday lending spatial distribution and neigborhood demographics /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2009. http://hdl.handle.net/10355/6714.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on March 24, 2010). Thesis advisor: Dr. Matthew Foulkes. Includes bibliographical references.
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Godin, Antoine. "Deciphering synaptic receptor distributions, clustering and stoichiometry using spatial intensity distribution analysis (SpIDA)." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=96774.

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Measuring protein interactions in subcellular compartments is key to understanding cell signalling mechanisms, but quantitative analysis of these interactions in situ has remained a major challenge. This thesis presents a novel analysis technique, spatial intensity distribution analysis (SpIDA), which may be applied to images obtained using fluorescence microscopy. SpIDA measures fluorescent particle densities and oligomerization states within individual images. The method is based on fitting intensity histograms from single images with super-Poissonian distributions to obtain density maps of fluorescent molecules and their quantal brightness. Since distributions are acquired spatially rather than temporally, this analysis may be applied to both live and chemically fixed cells and tissue. The technique does not rely on spatial correlations, freeing it from biases due to subcellular compartmentalization and heterogeneity within tissue samples. First, we validated the analysis technique evaluating its limits and demonstrating how it can be used to obtain useful information from complex biological samples. Analysis of simulations and heterodimeric GABAB receptors in spinal cord samples shows that the approach yields accurate estimates over a broad range of densities. SpIDA is applicable to sampling within subcell areas and reveals the presence of monomers and multimers with single dye labeling. We show that the substance P receptor (NK-1r) almost exclusively forms homodimers on the membrane and is primarily monomeric in the cytoplasm of dorsal horn neurons. Triggering receptor internalization caused a measurable decrease in homodimer density on the membrane surface. Finally, using GFP-tagged receptor subunits, we show that SpIDA can resolve dynamic changes in receptor oligomerization in live cells and is applicable to detection of high order oligomerization states. We then compared SpIDA results with those obtained from fluorescence lifetime imaging, and used it to extract information on receptor tyrosine kinase (RTK) dimerization at the cell membrane in response to GPCR activation. We show that RTK dimerization can be used as an index of activation or transactivation and then characterize the level of transactivation of many RTK-GPCR pairs, with cell cultures and primary neuron cultures with endogenous levels of RTKs and GPCRs. Dose-response curves were obtained from which pharmalogical parameters can be compared for each GPCR studied. Our data demonstrates that by allowing for time and space quantification of heterogenous oligomeric states, SpIDA enables systematic quantitative mechanistic studies not only of RTK transactivation at the cell membrane, but also of other cell signaling processes involving changes in protein oligomerization, trafficking and activity in different subcellular localizations. Finally, we studied the changes in number of synaptic sites in the neurons of the dorsal horn of the spinal cord of rats after a peripheral nerve injury (PNI), which consists of our model for chronic pain. We show that, after the PNI, there is a general decrease in synaptic sites together with a scaling or increasing of some of the GABAA receptor subunits. This scaling of the GABAA receptors at the postsynaptic sites was replicated by incubating the histological sections in a brain derivative nerve factor. Furthermore, we use SpIDA to obtain stoichiometry information for the GABAA receptor subunits directly at the postsynaptic sites. In short, we observe a switch from receptors containing two alpha1 to receptors containing two alpha2 and alpha3. This general change in subunits will have a direct effect on the cell as it will have different effects on the cell membrane conductance in response to GABA. As demonstrated, the advantages and greater versatility of SpIDA over current techniques opens the door to a new level of quantification for studies of protein interactions in native tissue using standard fluorescence microscopy.
Measuring protein interactions in subcellular compartments is key to understanding cell signalling mechanisms, but quantitative analysis of these interactions in situ has remained a major challenge. This thesis presents a novel analysis technique, spatial intensity distribution analysis (SpIDA), which may be applied to images obtained using fluorescence microscopy. SpIDA measures fluorescent particle densities and oligomerization states within individual images. The method is based on fitting intensity histograms from single images with super-Poissonian distributions to obtain density maps of fluorescent molecules and their quantal brightness. Since distributions are acquired spatially rather than temporally, this analysis may be applied to both live and chemically fixed cells and tissue. The technique does not rely on spatial correlations, freeing it from biases due to subcellular compartmentalization and heterogeneity within tissue samples. First, we validated the analysis technique evaluating its limits and demonstrating how it can be used to obtain useful information from complex biological samples. Analysis of simulations and heterodimeric GABAB receptors in spinal cord samples shows that the approach yields accurate estimates over a broad range of densities. SpIDA is applicable to sampling within subcell areas and reveals the presence of monomers and multimers with single dye labeling. We show that the substance P receptor (NK-1r) almost exclusively forms homodimers on the membrane and is primarily monomeric in the cytoplasm of dorsal horn neurons. Triggering receptor internalization caused a measurable decrease in homodimer density on the membrane surface. Finally, using GFP-tagged receptor subunits, we show that SpIDA can resolve dynamic changes in receptor oligomerization in live cells and is applicable to detection of high order oligomerization states. We then compared SpIDA results with those obtained from fluorescence lifetime imaging, and used it to extract information on receptor tyrosine kinase (RTK) dimerization at the cell membrane in response to GPCR activation. We show that RTK dimerization can be used as an index of activation or transactivation and then characterize the level of transactivation of many RTK-GPCR pairs, with cell cultures and primary neuron cultures with endogenous levels of RTKs and GPCRs. Dose-response curves were obtained from which pharmalogical parameters can be compared for each GPCR studied. Our data demonstrates that by allowing for time and space quantification of heterogenous oligomeric states, SpIDA enables systematic quantitative mechanistic studies not only of RTK transactivation at the cell membrane, but also of other cell signaling processes involving changes in protein oligomerization, trafficking and activity in different subcellular localizations. Finally, we studied the changes in number of synaptic sites in the neurons of the dorsal horn of the spinal cord of rats after a peripheral nerve injury (PNI), which consists of our model for chronic pain. We show that, after the PNI, there is a general decrease in synaptic sites together with a scaling or increasing of some of the GABAA receptor subunits. This scaling of the GABAA receptors at the postsynaptic sites was replicated by incubating the histological sections in a brain derivative nerve factor. Furthermore, we use SpIDA to obtain stoichiometry information for the GABAA receptor subunits directly at the postsynaptic sites. In short, we observe a switch from receptors containing two alpha1 to receptors containing two alpha2 and alpha3. This general change in subunits will have a direct effect on the cell as it will have different effects on the cell membrane conductance in response to GABA. As demonstrated, the advantages and greater versatility of SpIDA over current techniques opens the door to a new level of quantification for studies of protein interactions in native tissue using standard fluorescence microscopy.
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Ko, Henry Chung Hung Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Influence of scaffold geometries on spatial cell distribution." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2009. http://handle.unsw.edu.au/1959.4/43342.

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A limitation to engineering viable thick tissues (greater than a few hundred microns in thickness) has been the lack of vascularisation and a vascular supply. A key element in engineering such tissues is the generation of a supporting scaffold with a defined and wellcharacterized architecture. To date relatively little attention has been paid to characterization. The objective of this research was to develop well-characterized structures which will inform the rational design of the next generation of engineered thick tissues. Specifically, this research aimed to test combinations of various culturing environments, cell mono- and co-cultures, and scaffold architectures; develop improved imaging techniques and structural/spatial analytical methods to characterise porous polymer scaffolds; and use various spatial and morphological measures to quantify the relationships between scaffold geometric structure and cell distribution. Isotropic and anisotropic pore scaffolds were manufactured and then processed with nondestructive and destructive imaging methods, and characterised using image analysis methods to measure geometric parameters such as the degree of anisotropy/isotropy, porosity, and fractal parameters of pore and strut networks. Cells were introduced into scaffolds using a range of seeding methods and cultured in static and hydrodynamic environments. Quantification of the spatial cell distribution in cell-seeded scaffolds was done with first-order spatial statistics and fractal analysis. Findings comparing various destructive and non-destructive imaging methods found that cryotape cryohistology was the most accurate method for processing bare polymer scaffolds and eliminated histological artefacts common to other techniques. It was found with the various image analysis methods, surface and internal scaffold geometric architectures were strongly isotropic for porogen-fused porogen-leached scaffolds and anisotropic for TIPS scaffolds. For both isotropic and anisotropic pore scaffolds, collagen hydrogel infusion and droplet methods gave the highest cell seeding efficiencies (at 100% efficiency). The key finding in this study was that first-order spatial statistics and fractal analysis of cell distribution revealed that the geometric structure of the scaffolds had the strongest effect on spatial cell infiltration and distribution compared to the influence of culture environment or mono- and co-culture. Isotropic pore scaffolds had a higher level of cell distribution. Further work with optimizing the growth environment parameters, and utilizing collagen-infused cell-seeded scaffolds, may assist in achieving better cell growth. The work presented therefore provides the analytical basis for the rational design of tissue engineering scaffolds.
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Clubb, Bryan H. "Spatial and temporal distribution of perinuclear actin shells." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq31094.pdf.

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Godber, J. F. "Spatial distribution of calcium release sites in muscle." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371540.

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Dean, Hudson A. "Zooplankton spatial and seasonal distribution in Brooklands Lagoon." Thesis, University of Canterbury. Zoology, 1988. http://hdl.handle.net/10092/7069.

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The temporal and spatial distribution of zooplankton within Brooklands Lagoon was recorded at 3 sites representing a range of salinities and hydrographic conditions. Plankton tows were made monthly for one year to estimate seasonal abundance and distribution of zooplankton species. Diel distribution patterns were investigated in February by sampling at 3-hour intervals for a 30-hour period. The 48 taxa identified within Brooklands Lagoon represent a depauperate fauna compared with the nearby Avon-Heathcote estuary and the Kaikoura coastal waters. Brooklands Lagoon had approximately one tenth of the zooplankton biomass found in the Avon-Heathcote estuary. Results of ordination analysis showed a succession of dominant groups: Acartia sp., Microcyclops sp., Camptocercus sp. and Miscegenus heretunga in the summer, followed by barnacle and copepod nauplii during the winter. Changes in zooplankton abundance and biomass were influenced more by river flow and the degree of seawater mixing, than season, chlorophyll a concentration or temperature. Daily zooplankton abundance patterns were strongly influenced by darkness, resulting from the combined effect of turbidity and diel period. Zooplankton were also abundant during the early morning while chlorophyll a concentrations were increasing. The meroplankton showed high biomass and abundances during daytime high tides. Gut analysis of larval mullet, Mugil cephalus showed a diet of cyclopoid copepods, ostracods and oligochaetes. The flatfish larvae, Rhombosolea plebia, revealed a high dependance on zooplankton, eating almost exclusively Miscegenus heretunga. This harpacticoid copepod had a temperature/salinity tolerance between 1.7->40ppt. salinity and <5-26°C over 24hours. This tolerance range is wider than the temperature and salinity ranges recorded in the lagoon.
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Kwan, Chui-lan Rachel, and 關翠蘭. "Planning for the elderly: a spatial distribution perspective." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31259418.

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Books on the topic "Spatial distribution"

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United Nations Economic and Social Commission for Western Asia. Social Development, Population, and Human Settlements Division. Population spatial distribution. [S.l.]: United Nations Economic and Social Commission for Western Asia, 1993.

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United Nations. Economic and Social Commission for Western Asia., ed. Population spatial distribution. [Beirut]: The Commission, 1993.

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United Nations. Economic and Social Commission for Western Asia. Social Development, Population, and Human Settlements Division., ed. Population, spatial distribution. [Jordan?]: United Nations Economic and Social Commission for Western Asia, 1993.

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Matérn, Bertil. Spatial variation. 2nd ed. Berlin: Springer-Verlag, 1986.

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Spatial variation. 2nd ed. Berlin: Springer-Verlag, 1986.

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Jalan, Jyotsna. Spatial poverty traps? Washington, DC: World Bank, Development Research Group, 1997.

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W, Chesnutt Thomas, Los Angeles (Calif.). Dept. of Water and Power., and AWWA Research Foundation, eds. Spatial demand allocation for distribution system design. Denver, CO: AWWA Research Foundation, 2003.

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Casper, Dale E. Spatial distribution of urban populations: A bibliography. Monticello, Ill: Vance Bibliographies, 1985.

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Roslin, Tomas. Spatial ecology of dung beetles. Helsinki: Dept. of Ecology and Systematics, Division of Population Biology, 1999.

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Ravi, Kanbur S. M., Venables Anthony, and World Institute for Development Economics Research., eds. Spatial inequality and development. Oxford: Oxford University Press, 2005.

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Book chapters on the topic "Spatial distribution"

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Pandian, T. J. "Spatial Distribution." In Evolution and Speciation in Animals, 16–39. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003176381-3.

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Pandian, T. J. "Spatial Distribution." In Evolution and Speciation in Protozoa, 62–66. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003323716-2.

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Pandian, T. J. "Spatial Distribution." In Evolution and Speciation in Fungi and Eukaryotic Biodiversity, 60–70. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003361350-2.

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Birkin, Mark, and Richard Culf. "Optimal Distribution Strategies." In Advances in Spatial Science, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04625-8_12.

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Kluth, Thomas, and Holger Schultheis. "Attentional Distribution and Spatial Language." In Spatial Cognition IX, 76–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11215-2_6.

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Chu, Yaoquan, and LiZhi Fang. "Spatial Distribution of Quasars." In Observational Cosmology, 627–38. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3853-3_67.

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Li, Yanrong, Jingui Zhao, and Bin Li. "Origin and spatial distribution." In Loess and Loess Geohazards in China, 1–25. London : CRC Press/Balkema, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315177281-1.

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Kimura, Yoshio, Michael Sonis, and Geoffrey J. D. Hewings. "Miyazawa-Sraffa-Leontief Income Distribution Models." In Advances in Spatial Science, 365–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04786-6_20.

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Ma, Yongsheng. "Reservoir Type and Spatial Distribution." In Marine Oil and Gas Exploration in China, 159–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61147-0_6.

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Amblard, Frédéric, and Walter Quattrociocchi. "Social Networks and Spatial Distribution." In Understanding Complex Systems, 401–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-93813-2_16.

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Conference papers on the topic "Spatial distribution"

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Buchberger, Steven G., and Zhiwei Li. "Preserving Spatial Correlation in Network Water Demands." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)18.

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Singh, Upendra K., Thinesh Kumar, and Rahul Prajapati. "Geological straitigraphy and spatial distribution." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755076.

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Moreno, Ivan. "Spatial distribution of LED radiation." In Contract Proceedings 2006, edited by G. Groot Gregory, Joseph M. Howard, and R. John Koshel. SPIE, 2007. http://dx.doi.org/10.1117/12.692273.

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Melnik, Ivan S., Sergiy M. Dets, Nikolay A. Denisov, Alexander M. Ovcharuk, and Alexander Y. Joffe. "Spatial distribution of tissue fluorescence." In Photonics West '96, edited by Robert R. Alfano and Abraham Katzir. SPIE, 1996. http://dx.doi.org/10.1117/12.237586.

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Tau Sieskul, Bamrung, Claus Kupferschmidt, and Thomas Kaiser. "A correlated Gaussian spatial distribution." In 2010 IEEE Middle East Conference on Antennas and Propagation (MECAP). IEEE, 2010. http://dx.doi.org/10.1109/mecap.2010.5724194.

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Datcu, Dragos, and Jelmer Winkel. "Augmented Reality for Self-Organized Logistics in Distribution." In SUI '20: Symposium on Spatial User Interaction. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3385959.3421721.

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Chen, Junli, and Jie Zhu. "A novel stereo distribution SBR with GEO illuminator." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.780352.

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Ying, Shen, Lin Li, and Yurong Gao. "Pedestrian simulation and distribution in urban space based on visibility analysis and agent simulation." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837842.

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Zhou, Yan, Qing Zhu, and Yeting Zhang. "Spatial Data Dynamic Balancing Distribution Method for Parallel Spatial Database." In 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5364335.

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Huang, Zhan, Qing Guo, and Xuemai Gu. "A novel key distribution scheme for securing satellite IP multicast." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.775236.

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Reports on the topic "Spatial distribution"

1

Teraoka, G. M. Tailored Waste Package Spatial Distribution Alternative Report. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/762893.

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Rouleau, A. Characterizing the spatial distribution of fractures in rocks. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128116.

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Liu, J., J. M. Chen, J. Cihlar, W. Chen, and G. Pavlic. Quantifying the Spatial Distribution of Evapotranspiration with Satellite Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219532.

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Gilbert, Stanley. Estimating smoke alarm effectiveness and spatial distribution in homes. Gaithersburg, MD: National Institute of Standards and Technology, November 2018. http://dx.doi.org/10.6028/nist.tn.2020.

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Geyer, Wayne R. Measuring the Spatial Distribution of Ripples Using REMUS AUV. Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada473036.

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Fletcher, Charles H. Sand Distribution and Statistical Spatial Characteristics on Pacific Reef Platforms. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada613081.

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Fletcher, Charles H. Sand Distribution and Statistical Spatial Characteristics on Pacific Reef Platforms. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada628181.

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Fu, Chao, Junjie Guo, Adam Smith, and Alan Sorensen. Students' Heterogeneous Preferences and the Uneven Spatial Distribution of Colleges. Cambridge, MA: National Bureau of Economic Research, January 2021. http://dx.doi.org/10.3386/w28343.

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Poos, Jan Jaap, Timo Staeudle, Eleanor Greenway, and Jurgen Batsleer. Spatial distribution, migration, and population structure of North Sea rays. Wageningen: Wageningen University & Research, 2023. http://dx.doi.org/10.18174/632935.

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O'Shaughnessy, Eric, Gregory F. Nemet, and Naim Darghouth. Using the Spatial Distribution of Installers to Define Solar Photovoltaic Markets. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1322906.

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