Academic literature on the topic 'Spatial survey'

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Journal articles on the topic "Spatial survey"

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A.Rajamani, A. Rajamani, and Dr V. Krishnaveni Dr.V.Krishnaveni. "Survey on Spatial Filtering Techniques." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 153–56. http://dx.doi.org/10.15373/22778179/apr2014/53.

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Brown, Catherine. "Spatial Survey Methods Workshops." Bulletin of the Ecological Society of America 84, no. 2 (April 2003): 53. http://dx.doi.org/10.1890/0012-9623(2003)84[53b:ssmw]2.0.co;2.

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Tong, Yongxin, Zimu Zhou, Yuxiang Zeng, Lei Chen, and Cyrus Shahabi. "Spatial crowdsourcing: a survey." VLDB Journal 29, no. 1 (August 29, 2019): 217–50. http://dx.doi.org/10.1007/s00778-019-00568-7.

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Gummidi, Srinivasa Raghavendra Bhuvan, Xike Xie, and Torben Bach Pedersen. "A Survey of Spatial Crowdsourcing." ACM Transactions on Database Systems 44, no. 2 (April 8, 2019): 1–46. http://dx.doi.org/10.1145/3291933.

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Lakka, Eftychia, Athanasios Malamos, K. G. Pavlakis, and J. A. Ware. "Spatial Sound Rendering – A Survey." International Journal of Interactive Multimedia and Artificial Intelligence 5, no. 3 (2018): 33. http://dx.doi.org/10.9781/ijimai.2018.06.001.

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Meen, Geoffrey. "Spatial housing economics: A survey." Urban Studies 53, no. 10 (April 19, 2016): 1987–2003. http://dx.doi.org/10.1177/0042098016642962.

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Chen, Lisi, Shuo Shang, Chengcheng Yang, and Jing Li. "Spatial keyword search: a survey." GeoInformatica 24, no. 1 (July 4, 2019): 85–106. http://dx.doi.org/10.1007/s10707-019-00373-y.

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Robotham, A., S. P. Driver, P. Norberg, I. K. Baldry, S. P. Bamford, A. M. Hopkins, J. Liske, et al. "Galaxy and Mass Assembly (GAMA): Optimal Tiling of Dense Surveys with a Multi-Object Spectrograph." Publications of the Astronomical Society of Australia 27, no. 1 (2010): 76–90. http://dx.doi.org/10.1071/as09053.

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AbstractA heuristic greedy algorithm is developed for efficiently tiling spatially dense redshift surveys. In its first application to the Galaxy and MassAssembly (GAMA) redshift survey we find it rapidly improves the spatial uniformity of our data, and naturally corrects for any spatial bias introduced by the 2dF multi-object spectrograph. We make conservative predictions for the final state of the GAMA redshift survey after our final allocation of time, and can be confident that even if worse than typical weather affects our observations, all of our main survey requirements will be met.
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Johnson, D. L. "SPATIAL AUTOCORRELATION, SPATIAL MODELING, AND IMPROVEMENTS IN GRASSHOPPER SURVEY METHODOLOGY." Canadian Entomologist 121, no. 7 (July 1989): 579–88. http://dx.doi.org/10.4039/ent121579-7.

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AbstractAnalysis of 10 years of grasshopper survey data (1978–1987) indicated that grasshopper populations in fields can be reliably predicted from roadside survey counts. Direct estimation of grasshopper densities in crop fields is no longer required for summaries of infestation levels or forecasts. Spatial autocorrelation was significant and positive for both roadside and field counts. The coefficient of variation of the field counts was greater than that of the roadside counts in each of the last 10 years. Population density was summarized by crop type and sampling method for the last 10 years. Linear regressions fitted to the 1978–1984 grasshopper survey data were used to estimate field population density from crop type and roadside counts in 1985–1987. Maps of population density were generated from the predicted and observed field counts with SPANS, a microcomputer-based geographic information system. Large coefficients of association (73–79%) between the predicted and observed maps attested to the sufficiency of road-side counts as the basis for production of population density maps.
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Setiawan, Cahyadi, Suratman Suratman, and Muh Aris Marfa,i. "KONDISI SUMUR DAN PEMODELAN ARAH ALIRAN AIRTANAH BEBAS PADA BENTUKLAHAN FLUVIOMARIN DI JAKARTA." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 16, no. 2 (September 30, 2016): 1–9. http://dx.doi.org/10.21009/spatial.162.01.

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ABSTRACT Growing population have an impact on the strategy of fulfillment the water need and degradation of groundwater quality in Jakarta, especially in fluviomarine landforms in Jakarta. The purpose of this study was to determine the condition of wells and create a model of groundwater flow direction on fluviomarine landforms based on the season. Methods in this research study include three main aspects, namely population, characteristics of the object under study, and analysis. The population in this study using 30 groundwater wells sample representative of the population. Relating to the characteristics of the object under study, this study using a survey method. The survey is a sample survey on wells population who still use unconfined groundwater. About data analysis, then in this study used quantitative and qualitative approaches to the modeling of the groundwater flow direction using the Inverse Distance Weighted (IDW) in ArcGIS. The results showed that the unconfined groundwater wells in the study area consisted of dug wells and pantek wells. It is generally known that groundwater levels in the rainy season are higher than the dry season with a depth of groundwater level in the dry season to be deeper than the rainy season. Most of the groundwater level in organic settlements in the study area is below sea level, whereas in planned settlements is rarely found people who use groundwater. The depth of unconfined groundwater well less than 20 m with a thickness of water on the wells in the rainy season are thicker than the dry season. Groundwater flow direction along the north coast of central and western parts likely to lead to the mainland, while the southern part has a groundwater flow that is likely to lead to the North. Keywords: Fluviomarine Landforms In Jakarta; Unconfined Groundwater; Groundwater Flow Direction
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Dissertations / Theses on the topic "Spatial survey"

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Sturrock, Hugh. "Spatial epidemiology of parasitic infections and optimal survey design." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2011. http://researchonline.lshtm.ac.uk/4609914/.

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Recent years have seen a shift towards integrated control of a number of tropical diseases. Such a strategy, however, relies on an understanding of the spatial distribution and overlap of different diseases. Using a combination of fieldwork, spatial and economic analyses and computerized simulations, optimal survey designs were explored for soil-transmitted helminths (STHs), Schistosoma mansoni and Plasmodium /alciparum in East Africa, and the potential of an integrated survey approach was evaluated. For STH, analysis indicated that hookworm clusters over larger scales than Ascaris lumbricoides and Trichuris trichiura, and that surveying small numbers of children, from four to five schools per district, provides a rapid and cost-effective approach to target treatment at district levels. For S. mansoni, Lot Quality Assurance Sampling (LQAS) was compared to a geostatistical survey design that allows spatial prediction at unsurveyed locations based on a subset of schools. Results showed that targeted treatment was more cost-effective than presumptive treatment and that, whilst LQAS correctly classified a higher proportion of schools requiring treatment, a geostatistical design proved more cost-effective. An investigation into the optimal spatial scale to conduct surveys for STH, S. mansoni and P. /alciparum in Kenya found that, over various cost scenarios, surveying fifty children from three randomly selected sites per sub-district provided a balance of performance and cost-effectiveness for all species. In sub-districts of low S. manson; and P.alciparum prevalence, LQAS should be used to target treatment. This thesis has shown that species-specific differences in spatial heterogeneity of infection and the costs of both mapping surveys and programme intervention have important implications for the optimal design of surveys. A two stage framework for integrated surveys is proposed allowing for a flexible approach to mapping. Similar studies in different settings are crucial and would help to assess whether changes in survey strategy are required as transmission drops due to control activities.
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Ropinski, Timo, Steffen Oeltze, and Bernhard Preim. "Survey of Glyph-based Visualization Techniques for Spatial Multivariate Medical Data." Institut für Informatik, Münster, Germany, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92864.

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In this survey article, we review glyph-based visualization techniques, which have been exploited when visualizing spatial multivariate medical data. To classify these techniques, we derive a taxonomy of glyph properties, which is based on classification concepts established in information visualization. By considering both the glyph visualization as well as the interaction techniques that are employed to generate or explore the glyph visualization, we are able to classify glyph techniques into two main groups: those supporting pre-attentive and those supporting attentive processing. With respect to this classification, we review glyph-based techniques described in the medical visualization literature. Based on the outcome of the literature review, we propose design guidelines for glyph visualizations in the medical domain.
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Sterling, David L. "A Comparison of Spatial Interpolation Techniques for Determining Shoaling Rates of the Atlantic Ocean Channel." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/35072.

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The United States of Army Corp of Engineers (USACE) closely monitors the changing depths of navigation channels throughout the U.S. and Western Europe. The main issue with their surveying methodology is that the USACE surveys in linear cross sections, perpendicular to the channel direction. Depending on the channel length and width, these cross sections are spaced 100 - 400 feet apart, which produces large unmapped areas within each cross section of a survey.

Using a variety of spatial interpolation methods, depths of these unmapped areas were produced. The choice of spatial interpolator varied upon which method adequately produced surfaces from large hydrographic survey data sets with the lowest amount of prediction error. The data used for this research consisted of multibeam and singlebeam surveys. These surveys were taken in a systematic manner of linear cross-sections that produced tens of thousands of data points.

Nine interpolation techniques (inverse distance weighting, completely regularized spline, spline with tension, thin plate spline, multiquadratic spline, inverse multiquadratic spline, ordinary kriging, simple kriging, and universal kriging) were compared for their ability to accurately produce bathymetric surfaces of navigation channels. Each interpolation method was tested for effectiveness in determining depths at "unknown" areas. The level of accuracy was tested through validation and cross validation of training and test data sets for a particular hydrographic survey.

By using interpolation, grid surfaces were created at 15, 30, 60, and 90-meter resolution for each survey of the study site, the Atlantic Ocean Channel. These surfaces are used to produce shoaling amounts, which are taken in the form of volumes (yd.3). Because the Atlantic Ocean Channel is a large channel with a small gradual change in depth, a comparison of grid resolution was conducted to determine what difference, if any, exists between the calculated volumes from varying grid resolutions. Also, a comparison of TIN model volume calculations was compared to grid volume estimates.

Volumes are used to determine the amount of shoaling and at what rate shoaling is occurring in a navigation channel. Shoaling in each channel was calculated for the entire channel length. Volumes from varying grid resolutions were produced from the Atlantic Ocean Channel over a seven-year period from 1994-2001.

Using randomly arranged test and training datasets, spline with tension and thin plate spline produced the mean total error when interpolating using singlebeam and multibeam hydrographic data respectively. Thin plate spline and simple kriging produced the lowest mean total error in full cross validation testing of entire singlebeam and multibeam hydrographic datasets respectively.

Volume analysis of varying grid resolution indicates that finer grid resolution provides volume estimates comparable to TIN modeling, the USACE's technique for determining sediment volume estimates. The coarser the resolution, the less similar the volume estimates are in comparison to TIN modeling. All grid resolutions indicate that the Atlantic Ocean Channel is shoaling. Using a plan depth of 53 feet, TIN modeling displayed an annual average increase of 928,985 cubic yards of sediment from 1994 - 2001.


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Aguiar, Douglas Vieira de. "Grid configuration and land use : a syntactic survey of Porto Alegre (Brazil)." Thesis, Imperial College London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301615.

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Claridge, Justin. "Spatial prediction of soil properties from historic survey data using decision trees and conceptual modelling /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16266.pdf.

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DuBois, Jennifer Faith. "Spatial and Temporal Changes in Tsunami Risk Perception in Canterbury." Thesis, University of Canterbury. Geological Sciences, 2007. http://hdl.handle.net/10092/1440.

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Risk perception for rare, low-probability hazards, such as tsunamis, tends to be low due to individual's unfamiliarity with them and the tendency to see them as synonymous with non-occurrence events. Visitors to an area tend to have even lower risk perception and knowledge of hazards, warning systems and appropriate actions to take during an event. Risk perception, however, can increase, if only temporarily, after a catastrophic event, such as the 2004 Boxing Day tsunami. To determine the changes in resident's knowledge and perception and the differences between those of residents and visitors two surveys were conducted. In the first survey interview style surveying was conducted at eleven locations in the coastal Christchurch and Banks Peninsula area of the Canterbury Region The questionnaire was composed of scaled, open, and closed ended questions and the main themes included knowledge of risk, preparation and warnings, what to do during a tsunami, and changes since the 2004 Boxing Day tsunami. The second survey of five coastal communities was conducted via a postal questionnaire and was aimed at obtaining residential views. Survey data was then analysed with Statistical Package for the Social Sciences (SPSS) statistical software. The residential data was compared with that of the non-residents to determine the differences in perception of residents and visitors. The residential information was then compared with survey data from the 2003 National Coastal Survey. Visitors knew less about general tsunami information such as when the last tsunami occurred and were less likely to believe that a tsunami could occur imminently. Non-residents reported less receipt of information and did considerably less information seeking. Differences in knowledge of warning systems were difficult to ascertain. The Boxing Day event certainly made an impact, increasing people's knowledge and awareness, though most likely only temporarily.
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Tzimeas, Constantinos. "Image resolution analysis: a new, robust approach to seismic survey design." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/2431.

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Seismic survey design methods often rely on qualitative measures to provide an optimal image of their objective target. Fold, ray tracing techniques counting ray hits on binned interfaces, and even advanced 3-D survey design methods that try to optimize o?set and azimuth coverage are prone to fail (especially in complex geological or structural settings) in their imaging predictions. The reason for the potential failure of these commonly used approaches derives from the fact that they do not take into account the ray geometry at the target points. Inverse theory results can provide quantitative and objective constraints on acquisition design. Beylkin??s contribution to this ?eld is an elegant and simple equation describing a reconstructed point scatterer given the source/receiver distribution used in the imaging experiment. Quantitative measures of spatial image resolution were developed to assess the e?cacy of competing acquisition geometries. Apart from the source/receiver con?guration, parameters such as the structure and seismic velocity also in?uence image resolution. Understanding their e?ect on image quality, allows us to better interpret the resolution results for the surveys under examination. A salt model was used to simulate imaging of target points located underneath and near the ?anks of the diapir. Three di?erent survey designs were examined. Results from these simulations show that contrary to simple models, near-o?sets do not always produce better resolved images than far-o?sets. However, consideration of decreasing signal-to-noise ratio revealed that images obtained from the far-o?set experiment are degrading faster than the near-o?set ones. The image analysis was performed on VSP ?eld data as well as synthetics generated by ?nite di?erence forward modeling. The predicted image resolution results were compared to measured resolution from the migrated sections of both the ?eld data and the synthetics. This comparison con?rms that image resolution analysis provides as good a resolution prediction as the prestack Kirchho? depth migrated section of the synthetic gathers. Even in the case of the migrated ?eld data, despite the presence of error introducing factors (di?erent signal-to-noise ratios, shape and frequency content of source wavelets, etc.), image resolution performed well exhibiting the same trends of resolution changes at di?erent test points.
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Otepka, Johannes, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter, and Norbert Pfeifer. "Georeferenced Point Clouds: A Survey of Features and Point Cloud Management." MDPI AG, 2013. http://dx.doi.org/10.3390/ijgi2041038.

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This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific features. (authors' abstract)
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Martin, Camie Frandsen. "A Survey of Invasive Exotic Ants Found on Hawaiian Islands: Spatial Distributions and Patterns of Association." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3854.

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An intensive sampling of all ant species encountered on 6 Hawaiian Islands: Big Island, Maui, Oahu, Kauai, Molokai, and Lanai took place between 1988 and 1996. Species presence and absence was recorded at each site. Using remote sensing, variables were added insitu and used throughout my analysis. Species accumulation curves suggest that sampling was comprehensive. There is a significant trend between island area and species richness which validates the Theory of Island Biogeography for invasive species. Islands were found to be significantly nested by area, order, and tourism. Cluster analysis shows a link between elevation, land-use and island, and species presence. Predictive models can be built to predict spread of particular ant species as they continue toward equilibrium.
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Tilligkeit, Jacqueline Elizabeth. "The Spatial Distribution of K-Factor Values Across a Toposequence and a Soil Survey Map Unit." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/826.

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Rivers and streams are adversely affected by an increase in sedimentation in their waters from eroding land. High sediment loads in streams can bury fish eggs and prevent hatching, increasing nutrients in the water causing algae blooms, or even contaminating the water with heavy metals carried in or on the aggregates. The erodibility of soil is valuable knowledge to all land users so that we may predict soil loss and its potential to pollute streams. This is done by using the Revised Universal Soil Loss Equation (RUSLE). By predicting soil loss from a given landscape, land managers can take mitigation measures. The precision of the current scale available for soil erodibility (K-factor) by the US Department of Agriculture is not useful to small landowners or on a site-by-site basis. In California’s Central Coast, a grassland hillslope toposequence was investigated in a Los Osos-Diablo soil series complex. Geographic information systems software was used for spatial analysis of variation in the K-factor as well as interpolating areas that were not sampled. Analysis of soils’ particle size, infiltration rate, organic matter content, and structure across the toposequence allowed calculation of the soils’ K-factor values. K-factor values for the footslope, backslope, and shoulder were found to be statistically different from one another. All slope position’s average K-factor values were statistically different than the published Los Osos and Diablo series’ K-factor with the exception of the backslope which was not significantly different than Diablo’s K-factor value. The average of all K-factors was found not to be statistically different than the Los Osos’ K-factor but it was statistically different from the Diablo’s soil series K-factor. The USDA K-factors overestimated the predicted soil loss for the study site.
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Books on the topic "Spatial survey"

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Miller, Richard Kendall. Survey on spatial light modulators. Madison, GA: Future Technology Surveys, 1989.

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Committee, National Research Council (U S. ). Mapping Science. Spatial data needs: The future of the National Mapping Program. Washington, D.C: National Academy Press, 1990.

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Demography, urbanization, and spatial planning in Kenya: A bibliographical survey. Westport, Conn: Greenwood Press, 1985.

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Gorawara-Bhat, Rita. The social and spatial ecology of work: The case of a survey research organization. New York: Kluwer Academic/Plenum Publishers, 2000.

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Ravesteyn, Nico van. Unseen Europe: A survey of EU politics and its impact on spatial development in the Netherlands. Rotterdam: NAi, 2004.

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Unseen Europe: A survey of EU politics and its impact on spatial development in the Netherlands. Rotterdam: NAi Publishers, 2003.

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Workshop on the Applicability of Spatial Statistical Techniques to Acoustic Survey Data (1991 Reykjavik, Iceland). Report of the Workshop on the Applicability of Spatial Statistical Techniques to Acoustic Survey Data: Reykjavik, 5-9 September 1991. Copenhagen, Denmark: International Council for the Exploration of the Sea, 1993.

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Barbeaux, Steven J. Spatial and temporal analysis of eastern Bering Sea echo integration-trawl survey and catch data of walleye pollock, Theragra chalcogramma, for 2001 and 2002. Seattle, WA: Alaska Fisheries Science Center, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2003.

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Barbeaux, Steven J. Spatial and temporal analysis of eastern Bering Sea echo integration-trawl survey and catch data of walleye pollock, Theragra chalcogramma, for 2001 and 2002. Seattle, WA: Alaska Fisheries Science Center, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2003.

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Kūkan jōhō ni yoru saigai no kiroku: Isewan Taifū kara Higashi Nihon Daishinsai made = Disaster survey and investigation by spatial information technology. Tōkyō: Kajima Shuppankai, 2012.

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Book chapters on the topic "Spatial survey"

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Banning, E. B. "Surveying for Spatial Structure." In Archaeological Survey, 155–75. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0769-7_7.

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Benedetti, Roberto, Federica Piersimoni, and Paolo Postiglione. "Spatial Survey Data Modeling." In Advances in Spatial Science, 305–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46008-5_12.

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Benedetti, Roberto, Federica Piersimoni, and Paolo Postiglione. "Survey Data Collection and Processing." In Advances in Spatial Science, 219–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46008-5_9.

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Dupenois, Maximillian, and Antony Galton. "Assigning Footprints to Dot Sets: An Analytical Survey." In Spatial Information Theory, 227–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03832-7_14.

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Tautu, P. "Stochastic spatial processes in biology: A concise historical survey." In Stochastic Spatial Processes, 1–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0076235.

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Weiss, Gabriel, Erik Weiss, Roland Weiss, Slavomír Labant, and Karol Bartoš. "The Compatibility of 3D Spatial Points." In Survey Control Points, 29–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28457-6_5.

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Postiglione, Paolo, Roberto Benedetti, and Federica Piersimoni. "Spatial Prediction of Agricultural Crop Yield." In Agricultural Survey Methods, 369–87. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470665480.ch22.

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Weiss, Gabriel, Erik Weiss, Roland Weiss, Slavomír Labant, and Karol Bartoš. "The Verification of Compatibility of Spatial Points." In Survey Control Points, 107–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28457-6_8.

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Kawauchi, Akio. "Knot theory of spatial graphs." In A Survey of Knot Theory, 201–8. Basel: Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9227-8_16.

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Linda, Tomaselli. "A Survey of Fiscal Impact Analysis Methods." In Spatial Planning and Fiscal Impact Analysis, 13–26. New York, NY: Routledge, 2019.Identifiers: LCCN 2018041591 | ISBN 9781138387942 (hardback) | ISBN 9781138387973 (pbk.): Routledge, 2019. http://dx.doi.org/10.4324/9780429425912-2.

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Conference papers on the topic "Spatial survey"

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Chen, Xingyi, Zulong Lai, Weihua Li, and Jie Zhang. "Some critical issues on airborne LIDAR mapping software in coastal survey." 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/10.1117/12.838623.

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Chen, Dan, Yanfang Liu, Hai Yu, and Yin Xia. "Research on the key technology of update of land survey spatial data based on embedded GIS and GPS." 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/10.1117/12.838362.

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R, Priyatharshini, Surendernath S,P, and Chitrakala S. "Applications of Spatial Features in CBIR : A Survey." In Third International Conference on Computer Science, Engineering & Applications. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3531.

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Hinckley, Ken, Randy Pausch, John C. Goble, and Neal F. Kassell. "A survey of design issues in spatial input." In the 7th annual ACM symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/192426.192501.

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Kanapaka, Raja Rathnam Naidu, and Raghu Kisore Neelisetti. "A survey of tools for visualizing geo spatial data." In 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). IEEE, 2015. http://dx.doi.org/10.1109/iccicct.2015.7475242.

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Grindlay, J. "EXIST: The ultimate spatial/temporal hard X-ray survey." In GAMMA 2001: Gamma-Ray Astrophysics 2001. AIP, 2001. http://dx.doi.org/10.1063/1.1419518.

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Wu, HuiXin. "Survey on three-dimensional spatial data models in GIS." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5567375.

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Wang, Xiaolong. "Survey on Spatial Econometric Model for Cross-Sectional Data." In 2015 International Conference on Humanities and Social Science Research. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ichssr-15.2015.41.

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Fengshu, Dong, Chen Haolin, Liu Jun, Ni Chengzhou, Chen Gang, and Niu Hongxuan. "Application of general spatial resolution in seismic survey design." In SEG Technical Program Expanded Abstracts 2009. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3255183.

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Carniel, Anderson Chaves, and Markus Schneider. "A Survey of Fuzzy Approaches in Spatial Data Science." In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2021. http://dx.doi.org/10.1109/fuzz45933.2021.9494437.

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Reports on the topic "Spatial survey"

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Johnston, T. M., and Daniel R. Rudnick. SeaSoar and Doppler Sonar Spatial Survey of Internal Tide Generations, Surface Boundary Layer Dynamics, and Mixing. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada514317.

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Johnston, T. M., and Daniel L. Rudnick. SeaSoar and Doppler Sonar Spatial Survey of Internal Tide Generation, Surface Boundary Layer Dynamics, and Mixing. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573389.

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Borgoni, Riccardo, and Francesco C. Billari. Bayesian spatial analysis of demographic survey data: an application to contraceptive use at first sexual intercourse. Rostock: Max Planck Institute for Demographic Research, October 2002. http://dx.doi.org/10.4054/mpidr-wp-2002-048.

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Johnston, T. M., and Daniel L. Rudnick. SeaSoar and Doppler Sonar Spatial Survey of Internal Tide Generation, Surface Boundary Layer Dynamics, and Mixing. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612144.

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Voulgaris, George, John H. Trowbridge, and Eugene Terray. Spatial Variability of Bottom Turbulence Over a Linear Sand Ridge Mooring Deployment and AUTOSUB AUV Survey Cruise Report. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada390372.

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Dashiell, William H., L. Arnold Johnson, and Lynne S. Rosenthal. Criteria for United States Geological Survey (USGS) recognizing certificate issuing organizations functions and requirements part of United States Geological Survey recognition of Spatial Data Transfer Standard (SDTS) Topological Vector Profile (TVP) certification system. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6126.

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Megret, Remi, and Daniel DeMenthon. A Survey of Spatio-Temporal Grouping Techniques. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada459242.

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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, June 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend. This project contributes to the literature as one of the few published research projects that considers all typical categories of explanatory variables (individual and household socioeconomics, local built environment features, and travel and residential choice attitudes) as well as two new variables (accessibility to multi-use paths calculated by ArcGIS and a clustering effect represented by spatial autocorrelation) at two levels (level 1: binary choice of cycling/waking; level 2: cycling/walking time if yes at level 1) to better understand active travel demand. We use data from the 2012 Utah Travel Survey. At the first level, we use a spatial probit model to identify whether and why Salt Lake City residents walked or cycled. The second level is the development of a spatial autoregressive model for walkers and cyclists to examine what factors affect their travel time when using walking or cycling modes. The results from both levels, obtained while controlling for individual, attitudinal, and built-environment variables, show that accessibility to multi-use paths and a clustering effect (spatial autocorrelation) influence active travel behavior in different ways. Specifically, a cyclist is likely to cycle more when seeing more cyclists around. These findings provide analytical evidence to decision-makers for efficiently evaluating and deciding between plans and policies to enhance active transportation based on the two modeling approaches to assessing travel behavior described above.
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Mayne, Casey, David May, and David Biedenharn. Empirical analysis of effects of dike systems on channel morphology and flowlines. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/39799.

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A phased study of the dike fields within the Vicksburg and Memphis Districts of the US Army Corps of Engineers was conducted to document the channel morphology trends since dike construction on the Lower Mississippi River (LMR). This included the development of the hydrographic survey database and methodology utilized to identify changes in channel geometry in response to dike construction. A subsequent report will provide further refinements to the approach and results of the comprehensive assessment. Recent Mississippi River Geomorphology and Potamology program efforts have employed the database developed by Mr. Steve Cobb to assess the geomorphic changes in 21 dike systems along the LMR. Previous studies using this database have indicated that the dike fields have not caused a loss of channel capacity. Furthermore, these efforts suggested that the trends in the dike fields are closely related to the long-term geomorphic trends along the LMR. Previous efforts using the Cobb database provided considerable insight into the dike effects on the LMR, but they were limited spatially and temporally. In this study, a database and protocols were developed to allow for a more robust assessment of dike field impacts and to extend the spatial and temporal extents of the analysis.
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Wadman, Heidi, and Jesse McNinch. Elevation of underlying basement rock, Ogdensburg Harbor, NY. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40843.

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Over six linear miles of shallow acoustic reflection geophysical data were collected in an 800 ft by 300 ft survey region at Ogdensburg Harbor, Ogdensburg, NY. To better accommodate modern commercial vessels and expand the harbor’s capacity, the current navigable depth of -19 ft Low Water Depth (LWD) needs to be increased to -28 ft LWD, and an accurate map of the nature of the riverbed material (e.g., unconsolidated sediment, partially indurated glacial till, or bedrock) is required to effectively plan for removal. A total of 28 boreholes were previously collected to map the stratigraphy, and the effort revealed significant spatial variability in unit thickness and elevation between adjacent boreholes. To accurately map this variable stratigraphy, chirp sub-bottom profiles were collected throughout the region, with an average line spacing of 13 ft. These sub-bottom data, validated and augmented by the borehole data, resulted in high-resolution spatial maps of stratigraphic elevation and thickness for the study area. The data will allow for more accurate assessment of the type and extent of different dredging efforts required to achieve a future uniform depth of -28 ft LWD for the navigable region.
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