Relevant bibliographies by topics / Spatial variables measurement

Contents

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

Academic literature on the topic 'Spatial variables measurement'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Spatial variables measurement"

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Deák, Tamás, András Dobai, Zoltán Károly Kovács, Ferenc Molnár, and Endre Dobos. "Spatial extension of soil water regime variables derived from soil moisture values using geomorphological variables in Hungary." Hungarian Geographical Bulletin 73, no. 4 (2024): 337–53. https://doi.org/10.15201/hungeobull.73.4.1.

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Accurate measurement and spatial extension of soil properties are essential in geoinformatics and precision agriculture for effective resource management, particularly irrigation planning. This study addresses the challenge of extending soil moisture data and related soil water regime variables in heterogeneous agricultural landscapes by integrating geomorphological variables (GVs) derived from high-resolution digital elevation models (DEM). In digital soil mapping, machine learning and geostatistical models often struggle with validation due to data scarcity and variability across space throu
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Juhl, Sebastian. "Measurement Uncertainty in Spatial Models: A Bayesian Dynamic Measurement Model." Political Analysis 27, no. 3 (2018): 302–19. http://dx.doi.org/10.1017/pan.2018.35.

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According to spatial models of political competition, parties strategically adjust their ideological positions to movements made by rival parties. Spatial econometric techniques have been proposed to empirically model such interdependencies and to closely convert theoretical expectations into statistical models. Yet, these models often ignore that the parties’ ideological positions are latent variables and, as such, accompanied by a quantifiable amount of uncertainty. As a result, the implausible assumption of perfectly measured covariates impedes a proper evaluation of theoretical proposition
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ICHIYANAGI, Mitsuhisa, Yohei SATO, and Koichi HISHIDA. "F112 Spatial-Distribution Measurement of Multi-Variables for Mixing in Microchannel." Proceedings of the Thermal Engineering Conference 2005 (2005): 219–20. http://dx.doi.org/10.1299/jsmeted.2005.219.

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van Leeuwen, T. T., and G. R. van der Werf. "Spatial and temporal variability in the ratio of trace gases emitted from biomass burning." Atmospheric Chemistry and Physics 11, no. 8 (2011): 3611–29. http://dx.doi.org/10.5194/acp-11-3611-2011.

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Abstract. Fires are a major source of trace gases and aerosols to the atmosphere. The amount of biomass burned is becoming better known, most importantly due to improved burned area datasets and a better representation of fuel consumption. The spatial and temporal variability in the partitioning of biomass burned into emitted trace gases and aerosols, however, has received relatively little attention. To convert estimates of biomass burned to trace gas and aerosol emissions, most studies have used emission ratios (or emission factors (EFs)) based on the arithmetic mean of field measurement out
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Ramtvedt, Eirik Næsset, Terje Gobakken, and Erik Næsset. "Fine-Spatial Boreal–Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges." Remote Sensing 14, no. 6 (2022): 1482. http://dx.doi.org/10.3390/rs14061482.

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The boreal–alpine treeline is a fine-spatial heterogeneous ecotone with small single trees, tree clusters and open snow surfaces during wintertime. Due to climate change and decreased grazing of domestic animals, the treelines expand both upwards into the mountains and northwards into the tundra. To quantify and understand the biophysical radiative climatic feedback effect due to this expansion, it is necessary to establish measurement strategies of fine-spatial albedo by which relationships with the tree structure and snow-masking effect can be quantified. In this study, we measured single-tr
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Reis, Aliny Aparecida Dos, Andressa Ribeiro, Rafaella Carvalho Mayrinck, José Marcio de Mello, Anderson Pedro Bernardina Batista, and Antonio Carlos Ferraz Filho. "Temporal stability of stratifications using different dendrometric variables and geostatistical interpolation." Ciência Florestal 32, no. 1 (2022): 102–21. http://dx.doi.org/10.5902/1980509843274.

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Stratifying a forest results in more precise and cheaper inventories. This study aimed to select the stratifying variable that estimates more precise and stable inventory over the years for a eucalyptus plantation in Minas Gerais state, Brazil. The continuous forest inventory was performed annually from 2.7 to 6.8 years, and based on the field measurements, arithmetic mean diameter (d), height (h), dominant height (Hdom), basal area (G), volume (V), and mean annual increment in volume (MAI) were calculated. Semivariograms were generated and the exponential, spherical and Gaussian models were f
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Sexstone, G. A., and S. R. Fassnacht. "What drives basin scale spatial variability of snow water equivalent during two extreme years?" Cryosphere Discussions 7, no. 3 (2013): 2943–77. http://dx.doi.org/10.5194/tcd-7-2943-2013.

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Abstract. This study uses a combination of field measurements and Natural Resource Conservation Service (NRCS) operational snow data to understand the drivers of snow water equivalent (SWE) spatial variability at the basin scale. Historic snow course snowpack density observations were analyzed within a multiple linear regression snow density model to estimate SWE directly from snow depth measurements. Snow surveys were completed on or about 1 April 2011 and 2012 and combined with NRCS operational measurements to investigate the spatial variability of SWE. Bivariate relations and multiple linea
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Lusiana, Evellin Dewi, Arief Darmawan, Sarah Hutahaean, Muhammad Musa, Mohammad Mahmudi, and Sulastri Arsad. "Factors Affecting Dissolved Oxygen at Bengawan Solo River: A Spatial Filtering with Eigenvector Technique." Jurnal Varian 5, no. 1 (2021): 1–8. http://dx.doi.org/10.30812/varian.v5i1.1407.

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The quality of the river changes according to the development of the surrounding environment which is influenced by various human activities. Analysis of factors affecting Dissolved Oxygen (DO) at Bengawan Solo River is crucial for river management purpose and pollution control. Previous research suggested the use classic multiple linear regression. However, DO measurement were usually took place of sampling sites along the river channel. Therefore, there is a high chance that the measurements results may spatially correlated. As the consequence, the utilization of multiple linear regression t
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Erin, Lee Hestir, E. Brando Vittorio, Bresciani Mariano, et al. "Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission." Remote Sensing of Environment 167 (September 15, 2015): 181–95. https://doi.org/10.1016/j.rse.2015.05.023.

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Freshwater ecosystems underpin global water and food security, yet are some of the most endangered ecosystems in the world because they are particularly vulnerable to land management change and climate variability. The US National Research Council's guidance to NASA regarding missions for the coming decade includes a polar orbiting, global mapping hyperspectral satellite remote sensing mission, the Hyperspectral Infrared Imager (HyspIRI), to make quantitative measurements of ecosystem change. Traditionally, freshwater ecosystems have been challenging tomeasure with satellite remote sensing
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Hogland, John, and David L. R. Affleck. "Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation." Remote Sensing 11, no. 3 (2019): 222. http://dx.doi.org/10.3390/rs11030222.

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Remotely sensed data are commonly used as predictor variables in spatially explicit models depicting landscape characteristics of interest (response) across broad extents, at relatively fine resolution. To create these models, variables are spatially registered to a known coordinate system and used to link responses with predictor variable values. Inherently, this linking process introduces measurement error into the response and predictors, which in the latter case causes attenuation bias. Through simulations, our findings indicate that the spatial correlation of response and predictor variab
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Dissertations / Theses on the topic "Spatial variables measurement"

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Portz, Gustavo. "Use of crop canopy sensors in the measurement of sugarcane parameters aiming site-specific nitrogen fertilization management." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-17092015-101022/.

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Plant canopy sensors have emerged as a new tool for in field on-the-go spatially localized prediction of plant biomass and nitrogen (N) uptake by crops in an indirectly and plant indestructible way as base for N variable rate fertilization. Sensors based on the combination of specific reflectance bands from the electromagnetic spectrum constitute the vast majority of canopy sensors, and this principle has already been validated in many crops. Alternatively to this concept, the use of ultrasonic distance sensors to measure crop canopy height has been presented as an option to estimate biomass.
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Sayde, Chadi. "Improving soil water determination in spatially variable field using fiber optic technology and Bayesian decision theory." Thesis, 2012. http://hdl.handle.net/1957/28778.

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Achieving and maintaining sustainability in irrigated agriculture production in the era of rapidly increasing stress on our natural resources require, among other essential actions, optimum control and management of the applied water. Thus, a significant upgrade of the currently available soil water monitoring technologies is needed. The primary goal of this work was to reduce the uncertainties of spatially variable soil water in the field. Two approaches are suggested: 1) The Bayesian decision model that implicitly accounts for spatial variability at minimal cost based on limited field data,
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Books on the topic "Spatial variables measurement"

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Assessment of Some Spatially Variable Soil Factors Limiting Crop Yields (Proceedings of the Fertiliser Society). International Fertiliser Society, 1998.

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Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network
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Szewczyk, Janusz. Rola zaburzeń w kształtowaniu struktury i dynamiki naturalnych lasów bukowo-jodłowo-świerkowych w Karpatach Zachodnich. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-35-9.

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The aim of the study was to determine the influence of different disturbances (both natural and anthropogenic) on species composition and stand structure of old-growth mixed mountain forests in the Western Carpathians. These stands are usually dominated by beech, fir and spruce, mixed in different proportions. The tree main species represent different growth strategies, and they compete against each other. The longevity of trees makes the factors influencing the stand structure difficult to identify, even during longitudinal studies conducted on permanent research plots. That is why dendroecol
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Book chapters on the topic "Spatial variables measurement"

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Bocci, Chiara, and Emilia Rocco. "On the use of auxiliary information in spatial sampling." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.27.

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Technology development has led to a growing availability of low-cost data ready-to-use, frequently derived from large scale observations (i.e. data from pervasive systems like GPS sensors, or remote sensing data from earth observation technologies). Oftentimes, these data can’t directly answer specific questions posed by researchers and data users, or even if they can they are subject to measurement errors or self-selection bias. In both cases it is still necessary to rely, at least partially, on ad-hoc probabilistic surveys. On the other hand, the precision and quality of surveys estimates ca
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Dalle Vaglie, Matteo, and Federico Martellozzo. "Machine learning for sustainable land management: A focus on Italy." In Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0556-6.61.

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Soil salinization poses a multifaceted challenge demanding a comprehensive approach combining environmental science, machine learning, geography, and socio- economic analysis. Our study integrates these disciplines to unravel the complexities of soil salinization and devise effective mitigation strategies. We ground our investigation in understanding the geological and climatic fundamentals governing soil properties and processes, with a focus on the Mediterranean coastal areas. By harnessing the power of machine learning, we navigate the high-dimensionality and non-linearity of soil salinizat
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Besse, L., G. Gottschalk, A. Moser, and P. Suter. "Measurement of the Spatial, Stationary and Time Variable Velocity Distribution of Airflow Using Tracer Particles and Still Video Techniques." In Flow Visualization VI. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84824-7_36.

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"Spatial Variables Measurement." In The Measurement, Instrumentation and Sensors Handbook on CD-ROM. CRC Press, 1999. http://dx.doi.org/10.1201/9780415876179.sec2.

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"Spatial Variables." In Measurement, Instrumentation, and Sensors Handbook, Second Edition. CRC Press, 2014. http://dx.doi.org/10.1201/b15474-15.

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Scheuermann, A., R. Becker, and S. Schlaeger. "Measurement of soil state variables using Spatial Time Domain Reflectometry (Spatial TDR)." In ICPMG2014 – Physical Modelling in Geotechnics. CRC Press, 2013. http://dx.doi.org/10.1201/b16200-38.

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Hopmans, Jan W., and Jan M. H. Hendrickx. "Emerging Measurement Techniques for Vadose Zone Characterization." In Vadose Zone Hydrology. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195109900.003.0015.

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Variables and parameters required to characterize soil water flow and solute transport are often measured at different spatial scales from those for which they are needed. This poses a problem since results from field and laboratory measurements at one spatial scale are not necessarily valid for application at another. Herein lies a challenge that vadose zone hydrologists are faced with. For example, vadose zone studies can include flow at the groundwater-unsaturated zone as well as at the soil surface-atmosphere interface at either one specific location or representing an entire field or land
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"Landscape Influences on Stream Habitats and Biological Assemblages." In Landscape Influences on Stream Habitats and Biological Assemblages, edited by Keith B. Gido, Jeffrey A. Falke, Robert M. Oakes, and Kristen J. Hase. American Fisheries Society, 2006. http://dx.doi.org/10.47886/9781888569766.ch12.

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<em>Abstract.</em>—Habitat data collected at three spatial scales (catchments, reaches, and sites) were used to predict individual fish species occurrences and assemblage structure at 150 sites in the Kansas River basin. Habitat measurements for the catchments and reaches of each sample site were derived from available geographic information system (GIS) data layers. Habitat measurements at the sample sites were collected at the time of fish sampling. Because habitat measurements are typically more difficult to collect as the spatial scale of sampling decreases (i.e., field measure
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Wayne, Richard R. "Input transducers." In Chemical Instrumentation. Oxford University Press, 1994. http://dx.doi.org/10.1093/hesc/9780198557968.003.0003.

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This chapter examines important ways in which non-electrical variables which are measured in experiments may be converted into electrical phenomena for the processing and conditioning of the signals. It focuses on the measurement of the most basic physical quantities, such as spatial position, temperature, or light intensity, and explains how non-electrical phenomenon may be converted to another non-electrical phenomenon that is interfaced to an electrical transducer. It also cites the measurement of pressure as an example, emphasizing that the pressure of a gas might be used to distort a caps
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Kaboudan, M. "Genetic Programming for Spatiotemporal Forecasting of Housing Prices." In Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-984-7.ch055.

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This chapter compares forecasts of the median neighborhood prices of residential single-family homes in Cambridge, Massachusetts, using parametric and nonparametric techniques. Prices are measured over time (annually) and over space (by neighborhood). Modeling variables characterized by space and time dynamics is challenging. Multi-dimensional complexities—due to specification, aggregation, and measurement errors—thwart use of parametric modeling, and nonparametric computational techniques (specifically genetic programming and neural networks) may have the advantage. To demonstrate their effic
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Conference papers on the topic "Spatial variables measurement"

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Bekova, Radoslava, and Bogdan Prodanov. "SPATIO-TEMPORAL ANALYSIS OF EUTROPHICATION AND HABITAT LOSS IN COAS3TAL LAKES: A CASE STUDY FROM THE KAMCHIYA-SHKORPILOVTSI SECTOR, BULGARIAN BLACK SEA COAST." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.32.

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The study presents the first comprehensive spatio-temporal analysis of eutrophication and the consequent loss of sensitive aquatic habitats in the transitional water bodies along the Kamchiya-Shkorpilovtsi sector of the Bulgarian Black Sea coast. The research focuses on the Maznia Azmak Lake, an old Kamchiya riverbed integral to the Kamchia Nature Reserve and two Natura 2000 protected areas. The primary objective was to assess the scale and rate of eutrophication and its impact on aquatic habitats, employing modern methodologies such as drone surveys, high-precision GPS geodetic measurements,
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Urrego, Daniel F., Jefferson Flórez, Mayerlin Nuñez, and Alejandra Valencia. "Experimental simulation of quantum dynamics using environments based on spatial variables." In Quantum Information and Measurement. OSA, 2017. http://dx.doi.org/10.1364/qim.2017.qt6a.32.

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Ren, Jie, and Hui Wang. "Surface Variation Modeling by Fusing Surface Measurement Data With Multiple Manufacturing Process Variables." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8717.

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Controlling surface shape variations plays a key role in high-precision manufacturing. Most manufacturing plants rely on a number of multi-resolution measurements on manufactured surfaces to evaluate surface shapes and resultant quality. Conventional research on surface shape modeling focused on interpolation and extrapolation of spatial data using sampled measurements based on presumed spatial relationship over entire surface locations. However, the prediction accuracy is heavily restricted by the density of sampled measurements, preventing cost-effective evaluation of surface shape in high p
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Thayla Morandi Ridolfi de Carvalho, Daniella Jorge Moura, and Irenilza Alencar Nääs. "Study of Statistical Methods in the Spatial Variability Measurement of Climatic Variables within Broiler Houses." In Livestock Environment VIII, 31 August - 4 September 2008, Iguassu Falls, Brazil. American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.25620.

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Suriano, Saumuy, Hui Wang, and S. Jack Hu. "Monitoring Multistage Surface Spatial Variations Using Functional Morphing." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1203.

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In multistage manufacturing processes, the machined surface shape of a part changes as it goes through each stage. Process monitoring at multiple stages is necessary for root cause diagnosis and surface variation reduction. However, due to measurement time and capacity constraints, it is challenging to collect sufficient surface measurements at all intermediate stages for monitoring. This paper proposes a functional morphing based algorithm to monitor the surface variation propagation using end of line multi-resolution measurements supplemented with low resolution measurements at intermediate
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Luque, Jesus, Rainer Hamann, and Daniel Straub. "Spatial Model for Corrosion in Ships and FPSOs." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23062.

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Corrosion in ship structures is influenced by a variety of factors that are varying in time and space. Existing corrosion models used in practice only partially address the spatial variability of the corrosion process. Typical estimations of corrosion parameters are based on averaging measurements over structural elements from different ships and operational conditions, without considering the variability among and within the elements. However, this variability is important when determining the necessary inspection coverage, and it may influence the reliability of the ship structure. We develo
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Marcus, Lars, Meta Berghauser Pont, Gianna Stavroulaki, and Jane Bobkova. "Location-based density and diversity – adding attraction variables to space syntax." In 24th ISUF 2017 - City and Territory in the Globalization Age. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/isuf2017.2017.5706.

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The central variables in any urban model are distance and attraction (Wilson 2000). Space syntax research has contributed to the development of new geometric descriptions and measures of distance that have proven successful when it comes to capturing pedestrian movement. However, the description and measurement of attractions has not been central to the field. An important exception is the development of Place Syntax analysis, which concerns new methodologies and software that opens for analysis not only of different kinds of accessibilities in the street network in itself, but also analysis o
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Cameron, Joshua D., Scott C. Morris, Sean T. Barrows, and Jen-Ping Chen. "On the Interpretation of Casing Measurements in Axial Compressors." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51371.

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Experimental studies of stall inception in axial compressors typically involve the measurement of basic flow variables (often pressure or velocity) with low spatial resolution. These measurements are used to make inferences about the fluid dynamics of stall. This experimental paradigm has been used by many investigators to great effect over the last several decades. However, several limitations remain which restrict the utility of these types of measurements for developing further insight into stall inception physics. Primary among these limitations is the impracticality of making measurements
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Tariq, Hasan, and Farid Touati. "Environmentally-Powered WSN for Urban-Scale Mapping and Assessment of Air Quality in Qatar." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0056.

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Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and envi
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Goldstein, Neil, Brian Gregor, Jamine Lee, Stephen K. Kramer, Stuart Kozola, and Kenneth J. Semega. "IR Structured Emission-Based Speciation, Thermometry, and Tomography of CO and H2O in High-Pressure Combustors." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90899.

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Passive optical probes and high-resolution emission spectroscopy are used to provide a general-purpose real-time temperature and chemical species sensing capability. Probes can be inserted in the combustor, at the turbine inlet, in the augmenter, or at the engine exit with application as an engine development diagnostic tool that provides spatially resolved measurements of the key combustion parameters: temperature, CO concentration, and H2O concentration. Multiple probes are arrayed to collect the emitted infrared radiation over different views of the hot gas path. Line-of-sight averaged conc
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Reports on the topic "Spatial variables measurement"

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Russo, David, and William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580681.bard.

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Preferential flow appears to be the rule rather than the exception in field soils and should be considered in the quantitative description of solute transport in the unsaturated zone of heterogeneous formations on the field scale. This study focused on both experimental monitoring and computer simulations to identify important features of preferential flow in the natural environment. The specific objectives of this research were: (1) To conduct dye tracing and multiple tracer experiments on undisturbed field plots to reveal information about the flow velocity, spatial prevalence, and time evol
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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim
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