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Journal articles on the topic 'Fine spatial scale'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Fan, Yingda, Runlong Yu, Janet R. Barclay, et al. "Multi-Scale Graph Learning for Anti-Sparse Downscaling." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 27 (2025): 27969–77. https://doi.org/10.1609/aaai.v39i27.35014.

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Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature at fine spatial resolutions (i.e., fine scales, ≤ 1 km) enables precise interventions to maintain water quality and protect aquatic habitats. Although spatiotemporal models have made substantial progress in spatially coarse time series modeling, challenges persist in predicting at fine spatial scales due to the lack of data at that scale. To address the problem of insufficient fine-scale data, we propose a Multi-Scale Graph Learning (MSGL) method.

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2

Plue, Jan, Geertrui Goyens, Marc Van Meirvenne, Kris Verheyen, and Martin Hermy. "Small-scale seed-bank patterns in a forest soil." Seed Science Research 20, no. 1 (2009): 13–22. http://dx.doi.org/10.1017/s0960258509990201.

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AbstractThe forest seed bank has been demonstrated to vary spatially at scales from 2 to 10 m. To our knowledge, the fine-scale spatial structure, i.e. < 2 m, has not been studied before. This study aims to make a thorough investigation of fine-scale spatial structure. Soil samples (128) were collected from each of five 2.1 m × 2.1 m plots, using a combined systematic (64) and random design (64). This allowed investigation of the fine-scale spatial structure of individual species–plot combinations using indicator-variograms. Our results indicated that over half of all species recorded in a

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3

Inglis, D. W. F., and T. W. Choularton. "Fine scale spatial variations in wet deposition." Atmospheric Research 55, no. 2 (2000): 139–57. http://dx.doi.org/10.1016/s0169-8095(00)00062-4.

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Hulleman, J., and A. H. J. Oomes. "Spatial Causality in Bilateral Symmetry Detection." Perception 26, no. 1_suppl (1997): 181. http://dx.doi.org/10.1068/v970179.

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We studied the influence of spatial scale on the detection of vertical and horizontal bilateral symmetry. The causality principle in scale - space theory states that increasing the spatial scale in a representation can only result in a decrease of structure. Consequently, a pattern can be random on the fine scale and symmetric on the coarse scale, never the reverse. Stimuli were bilaterally symmetric or random patterns, black-and-white on a grey background, with a circular aperture. The minimal scale was systematically varied and stimuli ranged from conventional noise patterns, through Dalmati

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Carter, Neil H., Binoj K. Shrestha, Jhamak B. Karki, Narendra Man Babu Pradhan, and Jianguo Liu. "Coexistence between wildlife and humans at fine spatial scales." Proceedings of the National Academy of Sciences 109, no. 38 (2012): 15360–65. http://dx.doi.org/10.1073/pnas.1210490109.

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Many wildlife species face imminent extinction because of human impacts, and therefore, a prevailing belief is that some wildlife species, particularly large carnivores and ungulates, cannot coexist with people at fine spatial scales (i.e., cannot regularly use the exact same point locations). This belief provides rationale for various conservation programs, such as resettling human communities outside protected areas. However, quantitative information on the capacity and mechanisms for wildlife to coexist with humans at fine spatial scales is scarce. Such information is vital, because the wor

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Brunett, B. A., J. M. Van Scyoc, N. R. Hilton, J. C. Lund, R. B. James, and T. E. Schlesinger. "Fine-scale spatial response of CdZnTe radiation detectors." IEEE Transactions on Nuclear Science 46, no. 3 (1999): 237–42. http://dx.doi.org/10.1109/23.775521.

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7

DICK, CHRISTOPHER W. "New interpretations of fine-scale spatial genetic structure." Molecular Ecology 17, no. 8 (2008): 1873–74. http://dx.doi.org/10.1111/j.1365-294x.2008.03728.x.

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8

Kranstauber, Bart, Willem Bouten, Hidde Leijnse, et al. "High-Resolution Spatial Distribution of Bird Movements Estimated from a Weather Radar Network." Remote Sensing 12, no. 4 (2020): 635. http://dx.doi.org/10.3390/rs12040635.

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Weather radars provide detailed information on aerial movements of organisms. However, interpreting fine-scale radar imagery remains challenging because of changes in aerial sampling altitude with distance from the radar. Fine-scale radar imagery has primarily been used to assess mass exodus at sunset to study stopover habitat associations. Here, we present a method that enables a more intuitive integration of information across elevation scans projected in a two-dimensional spatial image of fine-scale radar reflectivity. We applied this method on nights of intense bird migration to demonstrat

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Neatrour, Matthew A., Robert H. Jones, and Stephen W. Golladay. "Correlations between soil nutrient availability and fine-root biomass at two spatial scales in forested wetlands with contrasting hydrological regimes." Canadian Journal of Forest Research 35, no. 12 (2005): 2934–41. http://dx.doi.org/10.1139/x05-217.

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We investigated the relationship between soil nutrients and fine-root biomass at broad (among ecosystem types) and fine (within a 20 m × 20 m plot) spatial scales in forested wetlands of the southeastern United States. We selected three replicates each of high-fertility floodplain swamps, low-fertility depressional swamps, and intermediate-fertility river swamp sloughs and measured soil nutrient availability (NO3-N, NH4-N, and PO4-P) and fine-root biomass. At one replicate of each wetland type, a dense network of sampling points was used to measure variability (variance and coefficient of vari

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Ciavarella, Constanze, and Neil M. Ferguson. "Deriving fine-scale models of human mobility from aggregated origin-destination flow data." PLOS Computational Biology 17, no. 2 (2021): e1008588. http://dx.doi.org/10.1371/journal.pcbi.1008588.

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The spatial dynamics of epidemics are fundamentally affected by patterns of human mobility. Mobile phone call detail records (CDRs) are a rich source of mobility data, and allow semi-mechanistic models of movement to be parameterised even for resource-poor settings. While the gravity model typically reproduces human movement reasonably well at the administrative level spatial scale, past studies suggest that parameter estimates vary with the level of spatial discretisation at which models are fitted. Given that privacy concerns usually preclude public release of very fine-scale movement data,

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11

Pinel-Alloul, Bernadette, and Didier Pont. "Spatial distribution patterns in freshwater macrozooplankton: variation with scale." Canadian Journal of Zoology 69, no. 6 (1991): 1557–70. http://dx.doi.org/10.1139/z91-219.

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The spatial heterogeneity of four macrozooplankton species (Skistodiaptomus oregonensis, Mesocyclops edax, Diaphanosoma brachyurum, and Daphnia sp.) was investigated over different scales, (fine and coarse scales: 2–40 m; lake-size scale: 10–380 m) in a small Canadian Shield lake. Values for the log s2: log [Formula: see text] relationships were established for the different scales and compared. Spatial analysis methods (space-constrained clustering analysis, spatial autocorrelation, and variogram modelling) were used for describing the surface distribution patterns observed on the whole-lake

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Ji, Q., S. Barr, P. James, and D. Fairbairn. "A GEOSPATIAL ANALYSIS FRAMEWORK FOR FINE SCALE URBAN INFRASTRUCTURE NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 291–96. http://dx.doi.org/10.5194/isprs-archives-xlii-4-291-2018.

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<p><strong>Abstract.</strong> Understanding the spatial connectivity of urban infrastructure networks that connect assets to buildings is important for the fine-scale spatial analysis and modelling of the resource flows within cities. However, rarely are spatially explicit representations of infrastructure networks available for such analysis. Further, an appropriate database system is the core of development of an infrastructure assets information and management platform, capable of handling the wide range of data for infrastructure system modelling and analysis. In this pap

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Breytenbach, Andrè. "3D Evaluation of fine-scale normalised DSMs in urban settings." South African Journal of Geomatics 9, no. 2 (2022): 397–414. http://dx.doi.org/10.4314/sajg.v9i2.26.

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Humankind often needs to accurately model, identify and spatially quantify aboveground phenomena on the Earth’s surface for informed decision-making. Height data derived from digital elevation models (DEMs) is often used to achieve this. This study conducted a deterministic assessment of three normalised digital surface models (nDSMs) of different spatial resolutions, namely 2m, 4m and 12m, derived from VHR digital stereo aerial photography, tri-stereo Pléiades imagery and Tandem-X InSAR data, respectively. Covering a predominantly built-up area within a city landscape, the nDSMs were vertical

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Henry, L. A., J. Moreno Navas, and J. M. Roberts. "Multi-scale interactions between local hydrography, seabed topography, and community assembly on cold-water coral reefs." Biogeosciences Discussions 9, no. 12 (2012): 17885–912. http://dx.doi.org/10.5194/bgd-9-17885-2012.

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Abstract. We investigated how the interactive effects of hydrography, topography and intrinsic community dynamics influence the assembly of species and functional traits across multiple spatial scales of a cold-water coral reef seascape. In a novel approach for these ecosystems, we use a spatially resolved complex three-dimensional flow model of hydrography to help explain assembly patterns. Forward selection of distance-based Moran's eigenvector mapping (dbMEM) variables identified two submodels of spatial scales at which communities are structured: broad-scale (across reef) and fine-scale (w

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Thompson, Patrick L., Forest Isbell, Michel Loreau, Mary I. O'Connor, and Andrew Gonzalez. "The strength of the biodiversity–ecosystem function relationship depends on spatial scale." Proceedings of the Royal Society B: Biological Sciences 285, no. 1880 (2018): 20180038. http://dx.doi.org/10.1098/rspb.2018.0038.

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Our understanding of the relationship between biodiversity and ecosystem functioning (BEF) applies mainly to fine spatial scales. New research is required if we are to extend this knowledge to broader spatial scales that are relevant for conservation decisions. Here, we use simulations to examine conditions that generate scale dependence of the BEF relationship. We study scale by assessing how the BEF relationship (slope and R 2 ) changes when habitat patches are spatially aggregated. We find three ways for the BEF relationship to be scale-dependent: (i) variation among local patches in local

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E., Santi, Tarantino C., Amici V., et al. "Fine-scale spatial distribution of biomass using satellite images." Journal of Ecology and The Natural Environment 6, no. 2 (2014): 75–86. http://dx.doi.org/10.5897/jene2013.0416.

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Paturel, J. E., and B. Chocat. "Analysis of the Rain Phenomenon at Fine Spatial Scale." Water Science and Technology 29, no. 1-2 (1994): 31–37. http://dx.doi.org/10.2166/wst.1994.0648.

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Since 1984, the Urban Community of Lyon (CO.UR.LY.) has been setting up a network of rain gauges with a density of about 1 station per 20 km. This network is integrated in the French system of Experimental and Representative Basins. To get a better knowledge of the spatial distribution of the rainfall, a study was based on the establishment of I.D.F. relationships for each of these measuring stations. Since the study period extended only over 5 to 6 years, only return periods of 1 and 2 years were taken into account. The results show a high statistical heterogeneity of rain gauging data. These

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Nituch, Larissa A., James A. Schaefer, and Christine D. Maxwell. "Fine-Scale Spatial Organization Reflects Genetic Structure in Sheep." Ethology 114, no. 7 (2008): 711–17. http://dx.doi.org/10.1111/j.1439-0310.2008.01522.x.

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Zawierucha, Krzysztof, Jakub Buda, Diego Fontaneto, et al. "Fine-scale spatial heterogeneity of invertebrates within cryoconite holes." Aquatic Ecology 53, no. 2 (2019): 179–90. http://dx.doi.org/10.1007/s10452-019-09681-9.

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Smith, Claire L., A. Webb, G. J. Levermore, S. J. Lindley, and K. Beswick. "Fine-scale spatial temperature patterns across a UK conurbation." Climatic Change 109, no. 3-4 (2011): 269–86. http://dx.doi.org/10.1007/s10584-011-0021-0.

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21

Doligez, Agnès, Claire Baril, and Hélène I. Joly. "Fine-Scale Spatial Genetic Structure with Nonuniform Distribution of Individuals." Genetics 148, no. 2 (1998): 905–19. http://dx.doi.org/10.1093/genetics/148.2.905.

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Abstract This paper presents the first theoretical study of spatial genetic structure within nonuniformly distributed continuous plant populations. A novel individual-based model of isolation by distance was constructed to simulate genetic evolution within such populations. We found larger values of spatial genetic autocorrelations in highly clumped populations than in uniformly distributed populations. Most of this difference was caused by differences in mean dispersal distances, but aggregation probably also produced a slight increase in spatial genetic structure. Using an appropriate level

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Cancellare, Imogene A., Elizabeth M. Kierepka, Jan Janecka, Byron Weckworth, Richard T. Kazmaier, and Rocky Ward. "Multiscale patterns of isolation by ecology and fine-scale population structure in Texas bobcats." PeerJ 9 (June 3, 2021): e11498. http://dx.doi.org/10.7717/peerj.11498.

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Patterns of spatial genetic variation can be generated by a variety of ecological processes, including individual preferences based on habitat. These ecological processes act at multiple spatial and temporal scales, generating scale-dependent effects on gene flow. In this study, we focused on bobcats (Lynx rufus), a highly mobile, generalist felid that exhibits ecological and behavioral plasticity, high abundance, and broad connectivity across much of their range. However, bobcats also show genetic differentiation along habitat breaks, a pattern typically observed in cases of isolation-by-ecol

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23

van den Berg, M. J., S. Vandenberghe, B. De Baets, and N. E. C. Verhoest. "Copula-based downscaling of spatial rainfall: a proof of concept." Hydrology and Earth System Sciences 15, no. 5 (2011): 1445–57. http://dx.doi.org/10.5194/hess-15-1445-2011.

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Abstract. Fine-scale rainfall data is important for many hydrological applications. However, often the only data available is at a coarse scale. To bridge this gap in resolution, stochastic disaggregation methods can be used. Such methods generally assume that the distribution of the field is stationary, i.e. the distribution for the entire (fine-scale) field is the same as the distribution of a smaller region within the field. This assumption is generally incorrect and we provide a proof of concept of a method to estimate the distribution of a smaller region. In this method, a copula is used

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van den Berg, M. J., S. Vandenberghe, B. De Baets, and N. E. C. Verhoest. "Copula-based downscaling of spatial rainfall: a proof of concept." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 207–41. http://dx.doi.org/10.5194/hessd-8-207-2011.

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Abstract. Fine-scale rainfall data is important for many hydrological applications. However, often the only data available is at a coarse scale. To bridge this gap in resolution, stochastic disaggregation methods can be used. Such methods generally assume that the distribution of the field is stationary, i.e. the distribution for the entire (fine-scale) field is the same as the distribution of a smaller region within the field. This assumption is generally incorrect and we provide the proof of concept of a method to estimate the distribution of a smaller region. In this method, a copula is use

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25

Yao, Demin. "Fine Scale Structure of the Local Lyapunov Exponent." Modern Physics Letters B 11, no. 16n17 (1997): 707–12. http://dx.doi.org/10.1142/s0217984997000864.

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Hintzen, Niels T., Geert Aarts, and Adriaan D. Rijnsdorp. "Persistence in the fine-scale distribution and spatial aggregation of fishing." ICES Journal of Marine Science 76, no. 4 (2018): 1072–82. http://dx.doi.org/10.1093/icesjms/fsy144.

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Abstract High-resolution vessel monitoring (VMS) data have led to detailed estimates of the distribution of fishing in both time and space. While several studies have documented large-scale changes in fishing distribution, fine-scale patterns are still poorly documented, despite VMS data allowing for such analyses. We apply a methodology that can explain and predict effort allocation at fine spatial scales; a scale relevant to assess impact on the benthic ecosystem. This study uses VMS data to quantify the stability of fishing grounds (i.e. aggregated fishing effort) at a microscale (tens of m

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27

Hoffman, Chad M., Justin P. Ziegler, Wade T. Tinkham, John Kevin Hiers, and Andrew T. Hudak. "A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain." Fire 6, no. 6 (2023): 216. http://dx.doi.org/10.3390/fire6060216.

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Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects. Given the difficulty in sampling continuous spatial patterns across scales, statistical approaches are common to scale from plot to landscapes. This study compared the performance of four spatial interpolation methods (SIM) for mapping fine-scale fuel loads: classification (CL), multiple linear regression (LR), ordinary kriging (OK), and regression kriging (RK). These methods represent commonly used SIMs and demonstrate a

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Zhukov, Alexander, and Galina Gadorozhnaya. "Spatial Heterogeneity of Mechanical Impedance of Atypical Chernozem: The Ecological Approach." Ekológia (Bratislava) 35, no. 3 (2016): 263–78. http://dx.doi.org/10.1515/eko-2016-0021.

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AbstractIn this research paper, the spatial heterogeneity of mechanical impedance of a typical chernozem was investigated. The distance between experimental points in the mechanical impedance space was explained by means of multidimensional scaling. Spearman’s rank correlation coefficients between dissimilarity indices and gradient separation with different data transformation methods revealed that the use of log-transformed data and Horn-Morisita distance was the most appropriate approach to reflect the relationship between the mechanical impedance of soil and ecological factors. A three dime

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Henry, L. A., J. Moreno Navas, and J. M. Roberts. "Multi-scale interactions between local hydrography, seabed topography, and community assembly on cold-water coral reefs." Biogeosciences 10, no. 4 (2013): 2737–46. http://dx.doi.org/10.5194/bg-10-2737-2013.

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Abstract. We investigated how interactions between hydrography, topography and species ecology influence the assembly of species and functional traits across multiple spatial scales of a cold-water coral reef seascape. In a novel approach for these ecosystems, we used a spatially resolved complex three-dimensional flow model of hydrography to help explain assembly patterns. Forward-selection of distance-based Moran's eigenvector mapping (dbMEM) variables identified two submodels of spatial scales at which communities change: broad-scale (across reef) and fine-scale (within reef). Variance part

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Razgour, Orly, Julia Hanmer, and Gareth Jones. "Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study." Biological Conservation 144, no. 12 (2011): 2922–30. https://doi.org/10.5281/zenodo.13510896.

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(Uploaded by Plazi for the Bat Literature Project) Although spatial scale is important for understanding ecological processes and guiding conservation planning, studies combining a range of scales are rare. Habitat suitability modelling has been used traditionally to study broad-scale patterns of species distribution but can also be applied to address conservation needs at finer scales. We studied the ability of presence-only species distribution modelling to predict patterns of habitat selection at broad and fine spatial scales for one of the rarest mammals in the UK, the grey long-eared bat

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Razgour, Orly, Julia Hanmer, and Gareth Jones. "Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study." Biological Conservation 144, no. 12 (2011): 2922–30. https://doi.org/10.5281/zenodo.13510896.

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(Uploaded by Plazi for the Bat Literature Project) Although spatial scale is important for understanding ecological processes and guiding conservation planning, studies combining a range of scales are rare. Habitat suitability modelling has been used traditionally to study broad-scale patterns of species distribution but can also be applied to address conservation needs at finer scales. We studied the ability of presence-only species distribution modelling to predict patterns of habitat selection at broad and fine spatial scales for one of the rarest mammals in the UK, the grey long-eared bat

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Razgour, Orly, Julia Hanmer, and Gareth Jones. "Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study." Biological Conservation 144, no. 12 (2011): 2922–30. https://doi.org/10.5281/zenodo.13510896.

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(Uploaded by Plazi for the Bat Literature Project) Although spatial scale is important for understanding ecological processes and guiding conservation planning, studies combining a range of scales are rare. Habitat suitability modelling has been used traditionally to study broad-scale patterns of species distribution but can also be applied to address conservation needs at finer scales. We studied the ability of presence-only species distribution modelling to predict patterns of habitat selection at broad and fine spatial scales for one of the rarest mammals in the UK, the grey long-eared bat

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Razgour, Orly, Julia Hanmer, and Gareth Jones. "Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study." Biological Conservation 144, no. 12 (2011): 2922–30. https://doi.org/10.5281/zenodo.13510896.

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(Uploaded by Plazi for the Bat Literature Project) Although spatial scale is important for understanding ecological processes and guiding conservation planning, studies combining a range of scales are rare. Habitat suitability modelling has been used traditionally to study broad-scale patterns of species distribution but can also be applied to address conservation needs at finer scales. We studied the ability of presence-only species distribution modelling to predict patterns of habitat selection at broad and fine spatial scales for one of the rarest mammals in the UK, the grey long-eared bat

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Jackson, Doug, Ash T. Zemenick, Brian Malloure, C. Alisha Quandt, and Timothy Y. James. "Fine-scale spatial genetic structure of a fungal parasite of coffee scale insects." Journal of Invertebrate Pathology 139 (September 2016): 34–41. http://dx.doi.org/10.1016/j.jip.2016.07.007.

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Entrambasaguas, Laura, Ángel Pérez-Ruzafa, Jose A. García-Charton, Ben Stobart, and Juan José Bacallado. "Abundance, spatial distribution and habitat relationships of echinoderms in the Cabo Verde Archipelago (eastern Atlantic)." Marine and Freshwater Research 59, no. 6 (2008): 477. http://dx.doi.org/10.1071/mf07109.

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The analysis of spatial variability in distribution and abundance of echinoderms may help in identifying the range of processes that can explain the observed patterns of this important component of benthic communities. The distribution and abundance of the echinoderm assemblage inhabiting the shallow rocky reefs at the Cabo Verde archipelago (where few studies other than descriptive ones have been performed until now) was quantified at three spatial scales (among islands, between locations within islands, and among replicates), at two depth strata, and related to fine-scale variation of habita

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Fisher, Martin. "Fine-scale distributions of tropical animal mounds: a revised statistical analysis." Journal of Tropical Ecology 9, no. 3 (1993): 339–48. http://dx.doi.org/10.1017/s0266467400007392.

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ABSTRACTDescriptions of the fine scale distribution of organisms have frequently been used to investigate various ecological phenomena. Unfortunately, the most widely used spatial analysis techniques are based on single index statistics, which convey only minimal information about the biological processes underlying the studied distributions. Such statistics cannot detect changes in pattern over different scales, and cannot identify some types of distribution. Additionally, both the use of such statistics on the distribution of individuals which have a non-negligible size, and the frequent fai

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Voytek, Bradley, Jason Samaha, Camarin E. Rolle, et al. "Preparatory Encoding of the Fine Scale of Human Spatial Attention." Journal of Cognitive Neuroscience 29, no. 7 (2017): 1302–10. http://dx.doi.org/10.1162/jocn_a_01124.

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Our attentional focus is constantly shifting: In one moment, our attention may be intently concentrated on a specific spot, whereas in another moment we might spread our attention more broadly. Although much is known about the mechanisms by which we shift our visual attention from place to place, relatively little is known about how we shift the aperture of attention from more narrowly to more broadly focused. Here we introduce a novel attentional distribution task to examine the neural mechanisms underlying this process. In this task, participants are presented with an informative cue that in

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Meier, P. T. "Fine spatial scale phenotypic divergence in wood frogs (Lithobates sylvaticus)." Canadian Journal of Zoology 85, no. 8 (2007): 873–82. http://dx.doi.org/10.1139/z07-071.

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I studied local divergence in growth, a trait previously shown to be both phenotypically plastic and heritable, among wood frog (Lithobates sylvaticus (LeConte, 1825)) tadpoles inhabiting four ponds within a continuous woodland. Mark–recapture results revealed very low levels of migration among ponds as close as 35 m and no more than 185 m apart. Common garden experiments conducted at two temperatures revealed consistent year-to-year patterns of phenotypic divergence in tadpole growth performance among the four pond populations. The divergence in growth performance was conserved when controlli

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Shimatani, Kenichiro. "Point Processes for Fine-Scale Spatial Genetics and Molecular Ecology." Biometrical Journal 44, no. 3 (2002): 325. http://dx.doi.org/10.1002/1521-4036(200204)44:3<325::aid-bimj325>3.0.co;2-b.

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Maurer, E. P., D. L. Ficklin, and W. Wang. "Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies." Hydrology and Earth System Sciences 20, no. 2 (2016): 685–96. http://dx.doi.org/10.5194/hess-20-685-2016.

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Abstract. Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in the large-scale signal. A simple and generally effective method for accommodating systematic biases in large-scale model output is quantile mapping, which has been applied to many variables and shown to reduce biases on average, even in the presence of non-stationarity. Quantile-mapping bias correction has been applied at spatial sca

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Maurer, E. P., D. L. Ficklin, and W. Wang. "Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies." Hydrology and Earth System Sciences Discussions 12, no. 10 (2015): 10893–920. http://dx.doi.org/10.5194/hessd-12-10893-2015.

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Abstract. Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in the large-scale signal. A simple and generally effective method for accommodating systematic biases in large-scale model output is quantile mapping, which has been applied to many variables and shown to reduce biases on average, even in the presence of non-stationarity. Quantile mapping bias correction has been applied at spatial sca

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Griffin, Michael T., James Dean Edwards Jr., and Thomas R. Allen. "Coastal Impervious Cover and Watershed Scale." International Journal of Applied Geospatial Research 7, no. 1 (2016): 45–62. http://dx.doi.org/10.4018/ijagr.2016010104.

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Environmental planners seek techniques that will enable them to analyze impervious cover to develop sound management plans for coastal regions. The spatial scale in which impervious cover has traditionally been widely analyzed is mismatched to the fine-scale resolution needed for local environmental management. This study examines impervious cover in New Hanover County, North Carolina using LiDAR derived subwatersheds and United States Geological Survey (USGS) 14-digit hydrologic unit watersheds to evaluate potential scale-dependency of impervious cover estimates. Spatial analysis of imperviou

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Beatty, William S., Patrick R. Lemons, Suresh A. Sethi, et al. "Panmixia in a sea ice-associated marine mammal: evaluating genetic structure of the Pacific walrus (Odobenus rosmarus divergens) at multiple spatial scales." Journal of Mammalogy 101, no. 3 (2020): 755–65. http://dx.doi.org/10.1093/jmammal/gyaa050.

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Abstract The kin structure of a species at relatively fine spatial scales impacts broad-scale patterns in genetic structure at the population level. However, kin structure rarely has been elucidated for migratory marine mammals. The Pacific walrus (Odobenus rosmarus divergens) exhibits migratory behavior linked to seasonal patterns in sea ice dynamics. Consequently, information on the spatial genetic structure of the subspecies, including kin structure, could aid wildlife managers in designing future studies to evaluate the impacts of sea ice loss on the subspecies. We sampled 8,303 individual

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Sharma, Sapna, Pierre Legendre, Daniel Boisclair, and Stéphane Gauthier. "Effects of spatial scale and choice of statistical model (linear versus tree-based) on determining species–habitat relationships." Canadian Journal of Fisheries and Aquatic Sciences 69, no. 12 (2012): 2095–111. http://dx.doi.org/10.1139/cjfas-2011-0505.

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The choice of spatial scale and modelling technique used to capture species–habitat relationships needs to be considered when ascertaining environmental determinants of habitat quality for species and communities. Fish densities and environmental data were collected at three Laurentian lakes using underwater surveys by four snorkelers collecting fine spatial data acquired through geographic positioning systems. At both fine (20 m) and broad (100 m) spatial scales, tree-based approaches, which incorporated both linear and nonlinear relationships, explained more variation than their linear count

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Randon, Marine, Olivier Le Pape, Bruno Ernande, et al. "Complementarity and discriminatory power of genotype and otolith shape in describing the fine-scale population structure of an exploited fish, the common sole of the Eastern English Channel." PLOS ONE 15, no. 11 (2020): e0241429. http://dx.doi.org/10.1371/journal.pone.0241429.

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Marine organisms show population structure at a relatively fine spatial scale, even in open habitats. The tools commonly used to assess subtle patterns of connectivity have diverse levels of resolution and can complement each other to inform on population structure. We assessed and compared the discriminatory power of genetic markers and otolith shape to reveal the population structure on evolutionary and ecological time scales of the common sole (Solea solea), living in the Eastern English Channel (EEC) stock off France and the UK. First, we genotyped fish with Single Nucleotide Polymorphisms

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O'Brien, Joseph J., E. Louise Loudermilk, Benjamin Hornsby, et al. "High-resolution infrared thermography for capturing wildland fire behaviour: RxCADRE 2012." International Journal of Wildland Fire 25, no. 1 (2016): 62. http://dx.doi.org/10.1071/wf14165.

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Wildland fire radiant energy emission is one of the only measurements of combustion that can be made at wide spatial extents and high temporal and spatial resolutions. Furthermore, spatially and temporally explicit measurements are critical for making inferences about fire effects and useful for examining patterns of fire spread. In this study we describe our methods for capturing and analysing spatially and temporally explicit long-wave infrared (LWIR) imagery from the RxCADRE (Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment) project and examine the usefulness of these

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Park, No-Wook. "Spatial Downscaling of TRMM Precipitation Using Geostatistics and Fine Scale Environmental Variables." Advances in Meteorology 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/237126.

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A geostatistical downscaling scheme is presented and can generate fine scale precipitation information from coarse scale Tropical Rainfall Measuring Mission (TRMM) data by incorporating auxiliary fine scale environmental variables. Within the geostatistical framework, the TRMM precipitation data are first decomposed into trend and residual components. Quantitative relationships between coarse scale TRMM data and environmental variables are then estimated via regression analysis and used to derive trend components at a fine scale. Next, the residual components, which are the differences between

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Gorospe, Kelvin D., and Stephen A. Karl. "Small-Scale Spatial Analysis ofIn SituSea Temperature throughout a Single Coral Patch Reef." Journal of Marine Biology 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/719580.

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Thermal stress can cause geographically widespread bleaching events, during which corals become decoupled from their symbiotic algae. Bleaching, however, also can occur on smaller, spatially patchy scales, with corals on the same reef exhibiting varying bleaching responses. Thus, to investigate fine spatial scale sea temperature variation, temperature loggers were deployed on a 4 m grid on a patch reef in Kāne'ohe Bay, Oahu, Hawai‘i to monitorin situ, benthic temperature every 50 minutes at 85 locations for two years. Temperature variation on the reef was characterized using several summary in

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Xiao, Heng, Donglin Jing, Fujun Zhao, and Shaokang Zha. "Feature Symmetry Fusion Remote Sensing Detection Network Based on Spatial Adaptive Selection." Symmetry 17, no. 4 (2025): 602. https://doi.org/10.3390/sym17040602.

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This paper proposes a spatially adaptive feature fine fusion network consisting of a Fast Convolution Decomposition Sequence (FCDS) and a Spatial Selection Mechanism (SSM). Firstly, in FCDS, a large kernel convolution decomposition operation is used to break down dense convolution kernels into small convolutions with gradually increasing hole rates, forming a continuous kernel sequence to obtain finer scale features. This approach significantly reduces the number of parameters, improves network inference efficiency, and preserves the spatial feature expression ability of the network. Notably,

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Hiller, Tim L., Henry Campa, and Scott R. Winterstein. "Multi-scale Cover Selection by White-tailed Deer, Odocoileus virginianus, in an Agro-forested Landscape." Canadian Field-Naturalist 123, no. 1 (2009): 32. http://dx.doi.org/10.22621/cfn.v123i1.672.

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Resource selection studies are commonly conducted at a single spatial scale, but this likely does not fully or accurately assess the hierarchical selection process used by animals. We used a multi-spatial scale approach to quantify White-tailed Deer (Odocoileus virginianus) cover selection in south-central Michigan during 2004–2006 by varying definitions of use and availability and ranking the relative importance of cover types under each study design. The number of cover types assigned as selected (proportional use > proportional availability) decreased from coarse (landscape level) to fin

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