Relevant bibliographies by topics / Spatial adjustment

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spatial adjustment'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Spatial adjustment"

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Navratil, Gerhard. "Adjustment computations: spatial data analysis." International Journal of Geographical Information Science 25, no. 2 (2011): 326–27. http://dx.doi.org/10.1080/13658816.2010.501335.

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Aslam, Jamal. "BER Performance of Versatile Spatial Adjustment." International Innovative Research Journal of Engineering and Technology 4, no. 4 (2019): EC—10—EC—14. http://dx.doi.org/10.32595/iirjet.org/v4i4.2019.90.

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Phibbs, Peter. "The Spatial Implications of Rural Adjustment." Urban Policy and Research 6, no. 1 (1988): 43–44. http://dx.doi.org/10.1080/08111148808551325.

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Overeem, Aart, Iwan Holleman, and Adri Buishand. "Derivation of a 10-Year Radar-Based Climatology of Rainfall." Journal of Applied Meteorology and Climatology 48, no. 7 (2009): 1448–63. http://dx.doi.org/10.1175/2009jamc1954.1.

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Abstract Weather radars give quantitative precipitation estimates over large areas with high spatial and temporal resolutions not achieved by conventional rain gauge networks. Therefore, the derivation and analysis of a radar-based precipitation “climatology” are highly relevant. For that purpose, radar reflectivity data were obtained from two C-band Doppler weather radars covering the land surface of the Netherlands (≈3.55 × 104 km2). From these reflectivities, 10 yr of radar rainfall depths were constructed for durations D of 1, 2, 4, 8, 12, and 24 h with a spatial resolution of 2.4 km and a data availability of approximately 80%. Different methods are compared for adjusting the bias in the radar precipitation depths. Using a dense manual gauge network, a vertical profile of reflectivity (VPR) and a spatial adjustment are applied separately to 24-h (0800–0800 UTC) unadjusted radar-based precipitation depths. Further, an automatic rain gauge network is employed to perform a mean-field bias adjustment to unadjusted 1-h rainfall depths. A new adjustment method is developed (referred to as MFBS) that combines the hourly mean-field bias adjustment and the daily spatial adjustment methods. The record of VPR gradients, obtained from the VPR adjustment, reveals a seasonal cycle that can be related to the type of precipitation. A verification with automatic (D ≤ 24 h) and manual (D = 24 h) rain gauge networks demonstrates that the adjustments remove the systematic underestimation of precipitation by radar. The MFBS adjustment gives the best verification results and reduces the residual (radar minus rain gauge depth) standard deviation considerably. The adjusted radar dataset is used to obtain exceedance probabilities, maximum rainfall depths, mean annual rainfall frequencies, and spatial correlations. Such a radar rainfall climatology is potentially valuable for the improvement of rainfall parameterization in weather and climate models and the design of hydraulic structures.
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Keller, Joshua P., and Adam A. Szpiro. "Selecting a scale for spatial confounding adjustment." Journal of the Royal Statistical Society: Series A (Statistics in Society) 183, no. 3 (2020): 1121–43. http://dx.doi.org/10.1111/rssa.12556.

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Stephens, Emma C., Edward Mabaya, Stephan von Cramon-Taubadel, and Christopher B. Barrett. "Spatial Price Adjustment with and without Trade*." Oxford Bulletin of Economics and Statistics 74, no. 3 (2011): 453–69. http://dx.doi.org/10.1111/j.1468-0084.2011.00651.x.

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Herdener, Nathan, Christopher D. Wickens, Benjamin A. Clegg, and C. A. P. Smith. "Spatial Anchoring and Adjustment Under Mental Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 349. http://dx.doi.org/10.1177/1541931213601567.

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Yang, Guang, Yan Han, Hao Gong, and Tiantian Zhang. "Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme." Sustainability 12, no. 8 (2020): 3478. http://dx.doi.org/10.3390/su12083478.

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This paper excavates tourist decision-making mechanism under the real-time tourist flow diversion scheme (RTFDS) and evaluates the tourist flow diversion effect of RTFDS. To meet the objectives, the stated preference survey and tourist flow survey of the Summer Palace were implemented. The tourist behavior adjustment model and tourist flow diversion simulation model were established. The results show that: (a) For core tourist spots, 66.5% and 16.5% of tourists will choose “behavior adjustment” and “no longer adjustment” under RTFDS, these behavior adjustments all shorten tourists’ residence time in tourist spots; (b) When the tourist congestion perception degree equals 4 or 5, tourists tend to adopt behavior adjustment or the individuals adopt no longer adjustment instead of cognitive adjustment when they face low tourist congestion perception degree, which equals 1 or 2; (c) When core tourist spots’ residence time is reduced by 10% and 20%, there are 60% and 73% time nodes where core tourist spots’ tourist flow density is less than or equal to the condition of null information, there are 73% and 60% time nodes where periphery tourist spots’ density is more than the condition of null information. The simulation results showed that some tourists could be guided from core tourist spots to periphery tourist spots through releasing RTFDS information. The research can provide theoretical support for the implementation of RTFDS, and alleviate the congestion inside the tourist attraction.
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Brorsen, B. Wade, Jean-Paul Chavas, and Warren R. Grant. "Market Structure and Spatial Price Dynamics." Journal of Agricultural and Applied Economics 23, no. 2 (1991): 65–74. http://dx.doi.org/10.1017/s0081305200018185.

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AbstractA method was developed with time series models to test hypotheses about the relationship between market structure and spatial price dynamics. Long-run dynamic multipliers measuring the magnitude of lagged adjustment for spatial milled rice prices were calculated from the time series model and used as the dependent variable in a regression model that included a number of factors expected to influence price determination. Results show that price adjustments were slower as regional submarket concentration increased and were faster in the regions with a higher market share. Arkansas, the state with the largest market share, was consistently a price leader.
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Herdener, Nathan, Benjamin A. Clegg, Christopher D. Wickens, and C. A. P. Smith. "Anchoring and Adjustment in Uncertain Spatial Trajectory Prediction." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 2 (2018): 255–72. http://dx.doi.org/10.1177/0018720818800591.

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Objective: The aim of this study was to explore the impact of prior information on spatial prediction and understanding of variability. Background: In uncertain spatial prediction tasks, such as hurricane forecasting or planning search-and-rescue operations, decision makers must consider the most likely case and the distribution of possible outcomes. Base performance on these tasks is varied (and in the case of understanding the distribution, often poor). Humans must update mental models and predictions with new information, sometimes under cognitive workload. Method: In a spatial-trajectory prediction task, participants were anchored on accurate or inaccurate information, or not anchored, regarding the future behavior of an object (both average behavior and the variability). Subsequently, they predicted an object’s future location and estimated its likelihood at multiple locations. In a second experiment, participants repeated the process under varying levels of external cognitive workload. Results: Anchoring influenced understanding of most likely predicted location, with fairly rapid adjustment following inaccurate anchors. Increasing workload resulted in decreased overall performance and an impact on the adjustment component of the task. Overconfidence was present in all conditions. Conclusion: Prior information exerted short-term influence on spatial predictions. Cognitive load impaired users’ ability to effectively adjust to new information. Accurate graphical anchors did not improve user understanding of variability. Application: Prior briefings or forecasts about spatiotemporal trajectories affect decisions even in the face of initial contradictory information. To best support spatial prediction tasks, efforts also need to be made to separate extraneous load-causing tasks from the process of integrating new information. Implications are discussed.
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Dissertations / Theses on the topic "Spatial adjustment"

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Henrion, Andrea. "The urban observatory : spatial adjustment-perception in space." Virtual Press, 1997. http://liblink.bsu.edu/uhtbin/catkey/1116357.

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This thesis develops a creative Project, the "Urban Observatory", situated on a traffic island in the center of Chicago on Wacker Drive and Wabash Avenue along the Chicago River. The aim of the building is to inspire and motivate people to experience the city from a different standpoint and to raise the inhabitant of the city to a different level of perception.The purpose of this study was to explore everyday circumstances and observations of an individual place, the American City and the search for its true genius loci. The main intention is to explore and visualize issues about culturally based differences in behavior and perception of people living in place of 'super scale' and 'high technology' on one side and abandonment and destruction on the other side. The study of the American City and its inhabitants results in an experimental design for an Urban Observatory, an architectural formulation standing in opposition to an architecture of change and fragmentation, an architecture of lost and senseless space. Furthermore the study researches the urban American fabric in practice as well as in theory. The intensive study of the writings of Malcolm Quantrill, Richard Sennett, Toni Hiss and others were the base for developing ideas about how people perceive and react consciously and unconsciously to a specific environment.This helped to identify the frame of the architectural exploration, in order to focus on ideas about: what is architecture of observation in the urban context, and what is the idea of perception in its spatial form?A journal of the design process (sketches, writings), models of varying scale and detail, drawings, photographs, etc. are the working tools to shape the idea of a building and fusing all aspects in a final project.<br>Department of Architecture
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Holland, Jeremy Douglas. "Social and spatial mobility under structural adjustment : a study of Kingston, Jamaica." Thesis, University of Liverpool, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260315.

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Merritt, Roger Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "An assessment of using least squares adjustment to upgrade spatial data in GIS." Awarded by:University of New South Wales. Surveying and Spatial Information Systems, 2005. http://handle.unsw.edu.au/1959.4/23003.

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The GIS Industry has digitised cadastre from the best available paper maps over the last few decades, incorporating the inherent errors in those paper maps and in the digitising process. The advent of Global Positioning Systems, modern surveying instruments and advances in the computing industry has made it desirable and affordable to upgrade the placement, in terms of absolute and relative position) of these digital cadastres. The Utility Industry has used GIS software to place their assets relative to these digital cadastres, and are now finding their assets placed incorrectly when viewed against these upgraded digital cadastres. This thesis examines the processes developed in the software program called the ???Spatial Adjustment Engine???, and documents a holistic approach to semi-automating the upgrading of the digital cadastre and the subsequent upgrading of the utility assets. This thesis also documents the various pilot projects undertaken during the development of the Spatial Adjustment Engine, the topological scenarios found in each pilot, their solution, and provides a framework of definitions needed to explore this field further. The results of each pilot project are given in context, and lead to the conclusions. The conclusions indicate the processes and procedures implemented in the Spatial Adjustment Engine are a suitable mechanism for the upgrade of digital cadastre and of spatially dependant themes such as utility assets, zoning themes, annotation layers, and some road centreline themes.
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Keefe, Matthew James. "Statistical Monitoring and Modeling for Spatial Processes." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/76664.

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Statistical process monitoring and hierarchical Bayesian modeling are two ways to learn more about processes of interest. In this work, we consider two main components: risk-adjusted monitoring and Bayesian hierarchical models for spatial data. Usually, if prior information about a process is known, it is important to incorporate this into the monitoring scheme. For example, when monitoring 30-day mortality rates after surgery, the pre-operative risk of patients based on health characteristics is often an indicator of how likely the surgery is to succeed. In these cases, risk-adjusted monitoring techniques are used. In this work, the practical limitations of the traditional implementation of risk-adjusted monitoring methods are discussed and an improved implementation is proposed. A method to perform spatial risk-adjustment based on exact locations of concurrent observations to account for spatial dependence is also described. Furthermore, the development of objective priors for fully Bayesian hierarchical models for areal data is explored for Gaussian responses. Collectively, these statistical methods serve as analytic tools to better monitor and model spatial processes.<br>Ph. D.
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Holden, Mark Paul. "EXTENDING THE CATEGORY ADJUSTMENT MODEL: LOCATION MEMORY BIASES IN 3-DIMENSIONAL SPACE." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/158122.

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Psychology<br>Ph.D.<br>The ability to remember spatial locations is critical to human functioning, both in an evolutionary and an everyday sense. And yet, spatial memories and judgments often show systematic errors. Explanations for such errors have ranged from assumptions that memories are nonmetric, to the use of imperfect inferences, to the optimal combination of multiple sources of information. More recently, bias has been explained through the Category Adjustment Model - a Bayesian model in which fine-grained and categorical information are optimally combined (Huttenlocher, Hedges, & Duncan, 1991). However, experiments testing this model have largely used locations contained in simple geometric shapes. Use of this paradigm raises the issue of whether the results generalize to location memory in the complex natural world, as it should if it is to provide an over-arching framework for thinking about spatial memory. Here, this issue is addressed using a novel extension of the location memory paradigm that allows for testing of location memory in an everyday, 3D environment. The results support two predictions of the Category Adjustment Model - that memory for locations is biased toward central values, and that the magnitude of error increases with the retention interval. Future directions for testing the model in an increasingly ecologically valid manner are discussed.<br>Temple University--Theses
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ESCRAGNOLLE-TAUNAY, HENRIQUE D. "A SPATIAL PARTITIONING HEURISTIC FOR AUTOMATIC ADJUSTMENT OF THE 3D NAVIGATION SPEED IN MULTISCALE VIRTUAL ENVIRONMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33439@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Com a evolução tecnológica, ambientes virtuais em 3D crescem continuamente em complexidade; este é o caso de ambientes multiescala, i.e., ambientes que contêm grupos de objetos com níveis de escala extremamente divergentes. Tal variação em escala dificulta a navegação interativa neste tipo de ambiente dado sua demanda repetitiva e não-intuitiva de ajustes em tanto velocidade quanto escala, levando em consideração os objetos que estão próximos ao observador, para garantir uma navegação estável e confortável. Esforços recentes tem sido desenvolvidos trabalhando com soluções fortemente baseadas na GPU que nem sempre podem ser viáveis dependendo da complexidade de uma cena. Nós apresentamos uma heurística de particionamento espacial para o ajuste automático de velocidade de navegação 3D em um ambiente multiescala virtual, minimizando o esforço computacional e transferindo este para a CPU, permitindo que a GPU possa focar na renderização. Nossa proposta descreve uma estratégia geométrica durante a fase de pré-processamento que nos permite estimar, em tempo real, qual é a menor distância entre o observador e o objeto mais próximo dele. A partir desta informação única, somos capazes de ajustar automaticamente a velocidade de navegação de acordo com a caraterística de escala da região na qual o observador se encontra. Com a informação topológica da cena obtida na fase de pré-processamento, somos capazes de responder, em tempo real, qual é o objeto mais próximo assim como o objeto visível mais próximo, que nos permite propor duas diferentes heurísticas de velocidade de navegação automática. Finalmente, com o objetivo de verificar o ganho de usabilidade alcançado com as abordagens propostas, foram realizados testes de usuário para avaliar a eficiência e precisão da navegação, assim como a satisfação subjetiva do usuário. Os resultados foram particularmente significantes ao demonstrar o ganho em precisão da navegação ao utilizar as abordagens propostas, tanto para usuários experientes quanto para leigos.<br>With technological evolution, 3D virtual environments continuously increase in complexity; such is the case with multiscale environments, i.e., environments that contain groups of objects with extremely diverging levels of scale. Such scale variation makes it difficult to interactively navigate in this kind of environment since it demands repetitive and unintuitive adjustments in either velocity or scale, according to the objects that are close to the observer, in order to ensure a comfortable and stable navigation. Recent efforts have been developed working with heavy GPU based solutions that are not feasible depending on the complexity of the scene. We present a spatial partitioning heurístic for automatic adjustment of the 3D navigation speed in a multiscale virtual environment minimizing the workload and transferring it to the CPU, allowing the GPU to focus on rendering. Our proposal describes a geometric strategy during the preprocessing phase that allows us to estimate, in real-time phase, which is the shortest distance between the observer and the object nearest to him. From this unique information, we are capable to automatically adjusting the speed of navigation according to the characteristic scale of the region where the observer is. With the scene topological information obtained in a preprocessing phase, we are able to obtain, in real-time, the closest object and the visible objects, which allows us to propose two different heurístics for automatic navigation velocity. Finally, in order to verify the usability gain in the proposed approaches, user tests were conducted to evaluate the accuracy and echiency of the navigation, and users subjective satisfaction. Results were particularly significant for demonstrating accuracy gain in navigation while using the proposed approaches for both laymen and advanced users.
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Mulvihill, Eric Joseph. "The role of the built environment in the care and adjustment of long-stay psychiatric patients moved from hospital into small hostels." Thesis, Oxford Brookes University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327785.

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Haghighattalab, Atena. "High-throughput phenotyping of large wheat breeding nurseries using unmanned aerial system, remote sensing and GIS techniques." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34486.

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Doctor of Philosophy<br>Department of Geography<br>Douglas G. Goodin<br>Jesse A. Poland<br>Kevin Price<br>Wheat breeders are in a race for genetic gain to secure the future nutritional needs of a growing population. Multiple barriers exist in the acceleration of crop improvement. Emerging technologies are reducing these obstacles. Advances in genotyping technologies have significantly decreased the cost of characterizing the genetic make-up of candidate breeding lines. However, this is just part of the equation. Field-based phenotyping informs a breeder’s decision as to which lines move forward in the breeding cycle. This has long been the most expensive and time-consuming, though most critical, aspect of breeding. The grand challenge remains in connecting genetic variants to observed phenotypes followed by predicting phenotypes based on the genetic composition of lines or cultivars. In this context, the current study was undertaken to investigate the utility of UAS in assessment field trials in wheat breeding programs. The major objective was to integrate remotely sensed data with geospatial analysis for high throughput phenotyping of large wheat breeding nurseries. The initial step was to develop and validate a semi-automated high-throughput phenotyping pipeline using a low-cost UAS and NIR camera, image processing, and radiometric calibration to build orthomosaic imagery and 3D models. The relationship between plot-level data (vegetation indices and height) extracted from UAS imagery and manual measurements were examined and found to have a high correlation. Data derived from UAS imagery performed as well as manual measurements while exponentially increasing the amount of data available. The high-resolution, high-temporal HTP data extracted from this pipeline offered the opportunity to develop a within season grain yield prediction model. Due to the variety in genotypes and environmental conditions, breeding trials are inherently spatial in nature and vary non-randomly across the field. This makes geographically weighted regression models a good choice as a geospatial prediction model. Finally, with the addition of georeferenced and spatial data integral in HTP and imagery, we were able to reduce the environmental effect from the data and increase the accuracy of UAS plot-level data. The models developed through this research, when combined with genotyping technologies, increase the volume, accuracy, and reliability of phenotypic data to better inform breeder selections. This increased accuracy with evaluating and predicting grain yield will help breeders to rapidly identify and advance the most promising candidate wheat varieties.
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Stanley, Raymond M. "Measurement and validation of bone-conduction adjustment functions in virtual 3D audio displays." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29754.

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Thesis (Ph.D)--Psychology, Georgia Institute of Technology, 2010.<br>Committee Chair: Walker, Bruce N.; Committee Member: Corballis, Paul M.; Committee Member: Corso, Gregory M.; Committee Member: Folds, Dennis J.; Committee Member: Houtsma, Adrianus J. M. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Sieberth, Till. "Motion blur in digital images : analys, detection and correction of motion blur in photogrammetry." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/20212.

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Unmanned aerial vehicles (UAV) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by an UAV, which have a high ground resolution and good spectral and radiometrical resolution, due to the low flight altitudes combined with a high resolution camera. UAV image flights are also cost effective and have become attractive for many applications including, change detection in small scale areas. One of the main problems preventing full automation of data processing of UAV imagery is the degradation effect of blur caused by camera movement during image acquisition. This can be caused by the normal flight movement of the UAV as well as strong winds, turbulence or sudden operator inputs. This blur disturbs the visual analysis and interpretation of the data, causes errors and can degrade the accuracy in automatic photogrammetric processing algorithms. The detection and removal of these images is currently achieved manually, which is both time consuming and prone to error, particularly for large image-sets. To increase the quality of data processing an automated process is necessary, which must be both reliable and quick. This thesis proves the negative affect that blurred images have on photogrammetric processing. It shows that small amounts of blur do have serious impacts on target detection and that it slows down processing speed due to the requirement of human intervention. Larger blur can make an image completely unusable and needs to be excluded from processing. To exclude images out of large image datasets an algorithm was developed. The newly developed method makes it possible to detect blur caused by linear camera displacement. The method is based on human detection of blur. Humans detect blurred images best by comparing it to other images in order to establish whether an image is blurred or not. The developed algorithm simulates this procedure by creating an image for comparison using image processing. Creating internally a comparable image makes the method independent of additional images. However, the calculated blur value named SIEDS (saturation image edge difference standard-deviation) on its own does not provide an absolute number to judge if an image is blurred or not. To achieve a reliable judgement of image sharpness the SIEDS value has to be compared to other SIEDS values of the same dataset. This algorithm enables the exclusion of blurred images and subsequently allows photogrammetric processing without them. However, it is also possible to use deblurring techniques to restor blurred images. Deblurring of images is a widely researched topic and often based on the Wiener or Richardson-Lucy deconvolution, which require precise knowledge of both the blur path and extent. Even with knowledge about the blur kernel, the correction causes errors such as ringing, and the deblurred image appears muddy and not completely sharp. In the study reported in this paper, overlapping images are used to support the deblurring process. An algorithm based on the Fourier transformation is presented. This works well in flat areas, but the need for geometrically correct sharp images for deblurring may limit the application. Another method to enhance the image is the unsharp mask method, which improves images significantly and makes photogrammetric processing more successful. However, deblurring of images needs to focus on geometric correct deblurring to assure geometric correct measurements. Furthermore, a novel edge shifting approach was developed which aims to do geometrically correct deblurring. The idea of edge shifting appears to be promising but requires more advanced programming.
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Books on the topic "Spatial adjustment"

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R, Wolf Paul, ed. Adjustment computations: Spatial data analysis. 5th ed. Wiley, 2010.

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Ghilani, Charles D. Adjustment computations: Spatial data analysis. 4th ed. John Wiley & Sons, 2006.

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Combes, Pierre-Philippe. Agglomeration and the adjustment of the spatial economy. Centre for Economic Performance, London School of Economics and Political Science, 2005.

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Dave, Counsell, ed. Regions, spatial strategies, and sustainable development. Routledge, 2003.

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Ghilani, Charles D. Adjustment Computations: Spatial Data Analysis. Wiley & Sons, Incorporated, John, 2017.

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Ghilani, Charles D. Adjustment Computations: Spatial Data Analysis. Wiley & Sons, Incorporated, John, 2011.

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Ghilani, Charles D., and Paul R. Wolf. Adjustment Computations: Spatial Data Analysis. Wiley & Sons, Incorporated, John, 2008.

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Ghilani, Charles D. Adjustment Computations: Spatial Data Analysis. Wiley & Sons, Incorporated, John, 2011.

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Adjustment Computations: Spatial Data Analysis, Sixth Edition. Wiley & Sons, Incorporated, John, 2017.

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Uwe, Altrock, ed. Spatial planning and urban development in the new EU member states: From adjustment to reinvention. Ashgate, 2006.

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Book chapters on the topic "Spatial adjustment"

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Matthews, Robert W., and Janice R. Matthews. "Spatial Adjustment." In Insect Behavior. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2389-6_3.

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Wagner, Michael. "Spatial Determinants of Social Mobility: An Analysis with Life History Data for Three West German Cohorts." In Migration and Labor Market Adjustment. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7846-2_11.

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Wang, Dai, Yue-fang Si, Wen-zhong Zhang, and Wei Sun. "An Investigation of Changes in the Urban Shadow of Beijing Metropolis Under Agricultural Structural Adjustment in China." In Spatial Planning and Sustainable Development. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5922-0_18.

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Kim, Jae Hong, and Geoffrey J. D. Hewings. "An Application of the Disequilibrium Adjustment Framework to Small Area Forecasting and Impact Analysis." In Defining the Spatial Scale in Modern Regional Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31994-5_7.

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Liu, Jiajun. "Spatial analysis on the contribution of industrial structural adjustment to regional energy efficiency." In China's Changing Economy. Routledge, 2016. http://dx.doi.org/10.4324/9781315671062-5.

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Crespi, M., B. Crippa, and L. Mussio. "Integrated Approach to Kinematic Adjustment and Spatial Analysis of Leveling Control Data of the Ancona 82 Landslide." In International Association of Geodesy Symposia. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4615-7109-4_35.

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Mohan, John. "Spatial Resource Allocation: Local Difficulties, Technical Adjustments and Political Solutions." In A National Health Service? Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-23897-2_4.

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Schuler, Richard. "Dynamic Price Patterns in Spatial Oligopolistic Markets: The Impact of Lagged Quantity Adjustments." In Regional Science: Perspectives for the Future. Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-25514-6_4.

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Becker, Michael, and Rolf Eckmiller. "Spatio-temporal filter adjustment from evaluative feedback for a retina implant." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0020311.

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Kawaye, Floney P., and Michael F. Hutchinson. "Maize, Cassava, and Sweet Potato Yield on Monthly Climate in Malawi." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_120.

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AbstractClimate change and climate variability in Malawi have negatively affected the production of maize, a staple food crop. This has adversely affected food security. On the other hand, there have been increases in growing area, production, yield, consumption, and commercialization of both cassava and sweet potato. Factors behind these increases include the adaptive capacity of these crops in relation to climate change and variability, structural adjustment programs, population growth and urbanization, new farming technologies, and economic development. Cassava and sweet potato are seen to have the potential to contribute to food security and alleviate poverty among rural communities.This study used a simple generic growth index model called GROWEST to model observed yields of maize, cassava, and sweet potato across Malawi between 2001 and 2012. The method can be viewed as a hybrid approach between complex process-based crop models and typical statistical models. For each food crop, the GROWEST model was able to provide a robust correlation between observed yields and spatially interpolated monthly climate. The model parameters, which included optimum growing temperatures and growing seasons, were well determined and agreed with known values. This indicated that these models could be used with reasonable confidence to project the impacts of climate change on crop yield. These projections could help assess the future of food security in Malawi under the changing climate and assist in planning for this future.
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Conference papers on the topic "Spatial adjustment"

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Zhang, Ming, Shi-jian Zhou, and Yunlan Guan. "Research on urban land grade adjustment based on digital land price model." 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/10.1117/12.838590.

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Wallgrün, Jan Oliver. "Exploiting qualitative spatial reasoning for topological adjustment of spatial data." In the 20th International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2424321.2424351.

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Jacobsen, Karsten. "Combined block adjustment with precise differential GPS-data." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182865.

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Forlani, G., and L. Pinto. "Experiences of combined block adjustment with GPS data." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182895.

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Hasler, Malte, Tobias Haist, and Wolfgang Osten. "Adjustment and Application of Spatial Light Modulators for Holography." In Digital Holography and Three-Dimensional Imaging. OSA, 2016. http://dx.doi.org/10.1364/dh.2016.dw1d.1.

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Blankenberg, Leif E. "Global positioning system (GPS) supported block adjustment with self-calibration parameters." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182834.

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Sepic, Nina, Enis Kocan, and Milica Pejanovic-Djurisic. "Evaluating spatial reuse in 802.11ax networks with interference threshold adjustment." In 2020 24th International Conference on Information Technology (IT). IEEE, 2020. http://dx.doi.org/10.1109/it48810.2020.9070717.

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Wang, Yunhao, Peng Xu, Wei Zheng, and Hengchang Liu. "Pricing Adjustment System for Spatial-Temporal Load of Charging Station." In ACM TURC'20: ACM Turing Celebration Conference - China. ACM, 2020. http://dx.doi.org/10.1145/3393527.3393555.

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Mughees, Atif, Xiaoqi Chen, and Linmi Tao. "Unsupervised hyperspectral image segmentation: Merging spectral and spatial information in boundary adjustment." In 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). IEEE, 2016. http://dx.doi.org/10.1109/sice.2016.7749195.

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Wang, Xingang, Renshi Yu, Tailian Liu, Wenqing Li, and Xiaoling Sun. "Map Adjustment As a Base for Privacy Assurance in Semantic Spatial Trajectories Release." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005675.

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Reports on the topic "Spatial adjustment"

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Over, Thomas, Riki Saito, Andrea Veilleux, et al. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used in the study. The resulting equations can be used to adjust rural peak discharge quantiles for the effect of urbanization, and in this study the equations also were used to adjust the annual maximum peak discharges from the study watersheds to 2010 urbanization conditions. The other set of equations was developed by a spatial analysis. This analysis used generalized least-squares regression to fit the peak discharge quantiles computed from the urbanization-adjusted annual maximum peak discharges from the study watersheds to drainage-basin characteristics. The peak discharge quantiles were computed by using the Expected Moments Algorithm following the removal of potentially influential low floods defined by a multiple Grubbs-Beck test. To improve the quantile estimates, regional skew coefficients were obtained from a newly developed regional skew model in which the skew increases with the urbanized land use fraction. The skew coefficient values for each streamgage were then computed as the variance-weighted average of at-site and regional skew coefficients. The drainage-basin characteristics used as explanatory variables in the spatial analysis include drainage area, the fraction of developed land, the fraction of land with poorly drained soils or likely water, and the basin slope estimated as the ratio of the basin relief to basin perimeter. This report also provides: (1) examples to illustrate the use of the spatial and urbanization-adjustment equations for estimating peak discharge quantiles at ungaged sites and to improve flood-quantile estimates at and near a gaged site; (2) the urbanization-adjusted annual maximum peak discharges and peak discharge quantile estimates at streamgages from 181 watersheds including the 117 study watersheds and 64 additional watersheds in the study region that were originally considered for use in the study but later deemed to be redundant. The urbanization-adjustment equations, spatial regression equations, and peak discharge quantile estimates developed in this study will be made available in the web-based application StreamStats, which provides automated regression-equation solutions for user-selected stream locations. Figures and tables comparing the observed and urbanization-adjusted peak discharge records by streamgage are provided at http://dx.doi.org/10.3133/sir20165050 for download.
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Drought Effects on Forests and Rangelands in the US Caribbean. USDA Caribbean Climate Hub, 2016. http://dx.doi.org/10.32747/2016.6960280.ch.

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Issues of water quality and scarcity are of great concern across the U.S. Caribbean. In recent years&#x0D; Puerto Rico and the U.S. Virgin Islands have experienced uncommonly dry weather that has caused&#x0D; moderate to severe droughts. In 2014-2015, severe drought in Puerto Rico required the implementation of water restrictions that affected millions of people. The summer of 2015 was the third driest period in Puerto Rico since 1898, forcing the strictest water rationing in its history. Emerging climate models for the region (Figure 1) predict an overall decrease in precipitation over the next century, but also to greater variance in seasonality and an increase in intense precipitation events. The temporal and spatial distribution of rainfall can have profound effects on the hydrology as well as the phenology and life-cycle of trees, rangeland species, pests and pollinators. Changing rainfall patterns will mean major adjustments in how working lands are managed by producers and planners.
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