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Journal articles on the topic 'High spatial sampling'

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

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1

Wang, Ye, Michal E. Pawlowski, and Tomasz S. Tkaczyk. "High spatial sampling light-guide snapshot spectrometer." Optical Engineering 56, no. 8 (2017): 081803. http://dx.doi.org/10.1117/1.oe.56.8.081803.

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Cai, Xiling, Xuewei Liu, Chunyan Deng, and Yingme Lv. "Characteristics analysis on high density spatial sampling seismic data." Applied Geophysics 3, no. 1 (2006): 48–54. http://dx.doi.org/10.1007/s11770-006-0007-2.

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Ahn, Kang-Hyun, and Howard J. Halpern. "Spatially uniform sampling in 4-D EPR spectral-spatial imaging." Journal of Magnetic Resonance 185, no. 1 (2007): 152–58. http://dx.doi.org/10.1016/j.jmr.2006.12.007.

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Zhang, Bao Long, and Jing Yun Wang. "Design of High-Resolution FPD System Based on Doglegged Sampling." Applied Mechanics and Materials 666 (October 2014): 93–97. http://dx.doi.org/10.4028/www.scientific.net/amm.666.93.

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For the shortcomings of methods used to improve the image spatial resolution of current linear charge coupled device (CCD) FPD System, a new sampling method is proposed, and a high-resolution FPD System is designed. Two same linear CCD cameras arc fixed with specific spatial arrangement, namely both camera 1 and camera 2's CCD scan the object with a tilt angle B, and image correction and pixel interpolation arc also used for getting high-resolution image. The experimental results show that, compared with the regular scanning mode equipped with a signal camera and =0¡ã, in our method cameras w
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Li, Zi-Shun. "Principle and application of high density spatial sampling in seismic migration." Applied Geophysics 9, no. 3 (2012): 286–92. http://dx.doi.org/10.1007/s11770-012-0338-0.

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Ouaknin, H., N. Weisbrod, and A. Furman. "Sampling at high spatial and temporal resolutions with an experimental chamber." European Journal of Soil Science 69, no. 4 (2018): 742–45. http://dx.doi.org/10.1111/ejss.12686.

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Samadi, Dr. "PENGARUH PERILAKU BERTANGGUNG JAWAB DAN PEMAHAMAN SISWA SMA DI DKI JAKARTA TERHADAP KETAHANAN SOSIAL EKOLOGIS LOKAL." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, no. 1 (2018): 72–76. http://dx.doi.org/10.21009/spatial.181.04.

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This study aims to determine empirically the influence of responsible behavior toward ecological social resilience in the framework of environmental education in senior high school students. The research was conducted during August-December 2017. This research used experimental method with 2 X 2 factorial design. The population in this study is the affordable population with random sampling method. The test of statistical hypothesis used ANAVA (analysis of variance) by comparing the Fcount with Ftable on each treatment factor (A and B), and interaction between factors (Ax B). Data analysis in
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Lv, Tingting, Xiang Zhou, Zui Tao, et al. "Remote Sensing-Guided Spatial Sampling Strategy over Heterogeneous Surface Ground for Validation of Vegetation Indices Products with Medium and High Spatial Resolution." Remote Sensing 13, no. 14 (2021): 2674. http://dx.doi.org/10.3390/rs13142674.

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Remote sensing (RS)-derived vegetation indices (VIs) with medium and high spatial resolution have emerged as a promising dataset for fine-scale ecosystem modeling and agricultural monitoring at local or global scales. Before they can be used as reliable inputs for other research, conducting in situ measurements for validation is very critical. However, the spatial heterogeneity due to the diversity of land cover and its spatial organization in the landscape increases the uncertainty of validation, so design of optimal sampling is an important basis for the reliability of the validation. In thi
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Crocker, N. A., W. A. Peebles, S. Kubota, et al. "High spatial sampling global mode structure measurements via multichannel reflectometry in NSTX." Plasma Physics and Controlled Fusion 53, no. 10 (2011): 105001. http://dx.doi.org/10.1088/0741-3335/53/10/105001.

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Sparovek, G., and O. A. Camargo. "Sampling strategies for tropical forest nutrient cycling studies: a case study in São Paulo, Brazil." Revista Brasileira de Ciência do Solo 21, no. 4 (1997): 635–42. http://dx.doi.org/10.1590/s0100-06831997000400014.

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The precise sampling of soil, biological or micro climatic attributes in tropical forests, which are characterized by a high diversity of species and complex spatial variability, is a difficult task. We found few basic studies to guide sampling procedures. The objective of this study was to define a sampling strategy and data analysis for some parameters frequently used in nutrient cycling studies, i. e., litter amount, total nutrient amounts in litter and its composition (Ca, Mg, Κ, Ν and P), and soil attributes at three depths (organic matter, Ρ content, cation exchange capacity and base sat
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Surti, Suleman, Ryan Scheuermann, Matthew E. Werner, and Joel S. Karp. "Improved Spatial Resolution in PET Scanners Using Sampling Techniques." IEEE Transactions on Nuclear Science 56, no. 3 (2009): 596–601. http://dx.doi.org/10.1109/tns.2009.2013389.

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12

Gagnon, P., A. N. Rousseau, A. Mailhot, and D. Caya. "Spatial Disaggregation of Mean Areal Rainfall Using Gibbs Sampling." Journal of Hydrometeorology 13, no. 1 (2012): 324–37. http://dx.doi.org/10.1175/jhm-d-11-034.1.

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Abstract Precipitation has a high spatial variability, and thus some modeling applications require high-resolution data (<10 km). Unfortunately, in some cases, such as meteorological forecasts and future regional climate projections, only spatial averages over large areas are available. While some attention has been given to the disaggregation of mean areal precipitation estimates, the computation of a disaggregated field with a realistic spatial structure remains a difficult task. This paper describes the development of a statistical disaggregation model based on Gibbs sampling. The mo
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Steinberg, Jacob M., and Charles C. Eriksen. "Glider Sampling Simulations in High-Resolution Ocean Models." Journal of Atmospheric and Oceanic Technology 37, no. 6 (2020): 975–92. http://dx.doi.org/10.1175/jtech-d-19-0200.1.

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AbstractIdealized simulations of autonomous underwater glider sampling along sawtooth vertical–horizontal paths are carried out in two high-resolution ocean numerical models to explore the accuracy of isopycnal vertical displacement and geostrophic velocity profile estimates. The effects of glider flight speed, sampling pattern geometry, and measurement noise on velocity profile accuracy are explored to interpret recent full-ocean-depth Deepglider observations and provide sampling recommendations for glider missions. The average magnitude of velocity error profiles, defined as the difference b
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Clay, Sharon A., G. Jason Lems, David E. Clay, Frank Forcella, Michael M. Ellsbury, and C. Gregg Carlson. "Sampling weed spatial variability on a fieldwide scale." Weed Science 47, no. 6 (1999): 674–81. http://dx.doi.org/10.1017/s0043174500091323.

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Site-specific weed management recommendations require knowledge of weed species, density, and location in the field. This study compared several sampling techniques to estimate weed density and distribution in two 65-ha no-tillZea mays–Glycine maxrotation fields in eastern South Dakota. The most common weeds (Setaria viridis, Setaria glauca, Cirsium arvense, Ambrosia artemisiifolia, andPolygonum pensylvanicum) were counted by species in 0.1-m2areas on a 15- by 30-m (1,352 points in each field) or 30- by 30-m (676 points in each field) grid pattern, and points were georeferenced and data spatia
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Toigo, Anthony D., Michael D. Smith, Frank P. Seelos, and Scott L. Murchie. "High spatial and temporal resolution sampling of Martian gas abundances from CRISM spectra." Journal of Geophysical Research: Planets 118, no. 1 (2013): 89–104. http://dx.doi.org/10.1029/2012je004147.

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Long, Andrew S. "The revolution in seismic resolution: High density 3D spatial sampling developments and results." ASEG Extended Abstracts 2004, no. 1 (2004): 1–4. http://dx.doi.org/10.1071/aseg2004ab094.

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Munandar, Aris. "PEMILIHAN MODA TRANSPORTASI SETELAH ADANYA KERETA COMUTER LINE (STUDI DAERAH PENYANGGA JAKARTA)." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 13, no. 1 (2015): 41–49. http://dx.doi.org/10.21009/spatial.131.05.

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ABSTRACT
 This study aimed to get a general idea about the selection of transportation modes resident in the buffer after the comuter line. The research time of the month from May to July 2014. The population in this study were all passengers in the Depok , Bekasi , Tangerang stasiun . The sampling technique was done by purposive sampling, passengers who choose rail transportation mode before applying commuterline using other modes . Each station 30 so that the total of 90 respondents. Characteristic of the youngest respondents aged 16 years and the oldest 50 years with an average of 26.9
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Fajarwati, Septi Dwi, Asma Irma Setianingsih, and Muzani Muzani. "ANALISIS KONDISI LAMUN (SEAGRASS) DI PERAIRAN PULAU PRAMUKA, KEPULAUAN SERIBU." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 13, no. 1 (2015): 22–32. http://dx.doi.org/10.21009/spatial.131.03.

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 This research aims to analyze the condition of seagrass ecosystem to see water quality data of the seagrass habitat and percentage cover of seagrass in the waters of the Pramuka Island, Seribu Islands. The research was conducted over two months from October to November 2014.This research used a descriptive method with field survey approach. The population in this study is the seagrass in Waters Pramuka Island. Determining the location with purposive sampling of the sampling is divided into three stations is North, East and South. Data collection techniques include primary data a
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Arizono, Shigeki, Hiroyoshi Isoda, Yoji S. Maetani, et al. "High spatial resolution 3D MR cholangiography with high sampling efficiency technique (SPACE): Comparison of 3T vs. 1.5T." European Journal of Radiology 73, no. 1 (2010): 114–18. http://dx.doi.org/10.1016/j.ejrad.2008.08.003.

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R.UDHAYA MOHAN BABU and Dr. G.KALAIYARASAN. "Effectiveness Of Visual Spatial Intelligence Based Instructional Materials To Enhance The Achievements Of The Secondary School Students." Think India 22, no. 3 (2019): 2262–68. http://dx.doi.org/10.26643/think-india.v22i3.8708.

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Spatial intelligence is one of researcher Howard Gardner's nine multiple intelligences.The Spatial thinking is powerful and pervasive, underpinning everyday life, work, and science.They are skilled at using their ability to visualize and their spatial judgment to complete tasks and projects that include design, judgment, and creativity. Kosslyn (1978) distinguished four stages in the cognitive processing of spatial information. The investigators employed the experimental method for the present investigation. 40 high school students were taken from Government Higher Secondary School through Sim
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El-Baba, Tarick J., Corinne A. Lutomski, Beixi Wang, Ellen D. Inutan, and Sarah Trimpin. "Toward high spatial resolution sampling and characterization of biological tissue surfaces using mass spectrometry." Analytical and Bioanalytical Chemistry 406, no. 17 (2014): 4053–61. http://dx.doi.org/10.1007/s00216-014-7778-8.

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Kim, Hee-Seob, Gyu-Sun Kim, Dae-Won Chung, and Eung-Hyun Kim. "Spatial Resolution Improvement Using Over Sampling and High Agile Maneuver in Remote Sensing Satellite." International Journal of Aeronautical and Space Sciences 8, no. 2 (2007): 37–43. http://dx.doi.org/10.5139/ijass.2007.8.2.037.

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23

Chatziioannou, A., R. W. Silverman, K. Meadors, T. H. Farquhar, and S. R. Cherry. "Techniques to improve the spatial sampling of MicroPET-a high resolution animal PET tomograph." IEEE Transactions on Nuclear Science 47, no. 2 (2000): 422–27. http://dx.doi.org/10.1109/23.846275.

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Roberts, G., J. D. Last, E. W. Roberts, and A. E. Hill. "Position-logging Drifting Buoys Using Decca Navigator and Argos for High-Resolution Spatial Sampling." Journal of Atmospheric and Oceanic Technology 8, no. 5 (1991): 718–28. http://dx.doi.org/10.1175/1520-0426(1991)008<0718:pldbud>2.0.co;2.

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Evans, Amanda M., and Amy L. Stuart. "A Passive Sampling Study of Small-Scale Variations in Ambient Acetaldehyde and Formaldehyde Concentrations." Air, Soil and Water Research 4 (January 2011): ASWR.S7582. http://dx.doi.org/10.4137/aswr.s7582.

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Radiello passive diffusive aldehyde samplers were used to measure ambient formaldehyde and acetaldehyde levels, approximately every 0.7 km in a 10 km2 sampling area in Hillsborough County, Florida from January 21 to 28, 2010. Samples were analyzed for aldehyde-DNPH derivatives via high performance liquid chromatography with ultraviolet detection. Concentrations were compared with values at a regulatory fixed-site monitor. Distribution statistics, concentration ratios, and spatial contours were calculated to investigate spatial variability. Mean aldehyde concentrations were 2.4 and 1.1 μg/m3 fo
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Yao, Zhiyang, Yongshun Xiao, Bo Wang, et al. "Study of 3D fast Compton camera image reconstruction method by algebraic spatial sampling." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 954 (February 2020): 161345. http://dx.doi.org/10.1016/j.nima.2018.10.023.

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Wang, Zhenhua, Lizhi Xu, Qing Ji, Wei Song, and Lingqun Wang. "A Multi-Level Non-Uniform Spatial Sampling Method for Accuracy Assessment of Remote Sensing Image Classification Results." Applied Sciences 10, no. 16 (2020): 5568. http://dx.doi.org/10.3390/app10165568.

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Accuracy assessment of classification results has important significance for the application of remote sensing images, which can be achieved by sampling methods. However, the existing sampling methods either ignore spatial correlation or do not consider spatial heterogeneity. Here, we proposed a multi-level non-uniform spatial sampling method (MNSS) for the accuracy assessment of classification results. Taking the remote sensing image of Kobo Askov, Texas, USA, as an example, the classification result of this image was obtained by Support Vector Machine (SVM) classifier. In the proposed MNSS,
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Sarmento, Eliana Casco, Elvio Giasson, Eliseu Weber, Carlos Alberto Flores, and Heinrich Hasenack. "Prediction of soil orders with high spatial resolution: response of different classifiers to sampling density." Pesquisa Agropecuária Brasileira 47, no. 9 (2012): 1395–403. http://dx.doi.org/10.1590/s0100-204x2012000900025.

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The objective of this work was to evaluate sampling density on the prediction accuracy of soil orders, with high spatial resolution, in a viticultural zone of Serra Gaúcha, Southern Brazil. A digital elevation model (DEM), a cartographic base, a conventional soil map, and the Idrisi software were used. Seven predictor variables were calculated and read along with soil classes in randomly distributed points, with sampling densities of 0.5, 1, 1.5, 2, and 4 points per hectare. Data were used to train a decision tree (Gini) and three artificial neural networks: adaptive resonance theory, fuzzy AR
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Liermann, Martin C., Dan Rawding, George R. Pess, and Bryce Glaser. "The spatial distribution of salmon and steelhead redds and optimal sampling design." Canadian Journal of Fisheries and Aquatic Sciences 72, no. 3 (2015): 434–46. http://dx.doi.org/10.1139/cjfas-2014-0181.

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Redd surveys are used extensively to estimate spawner population size for Pacific salmon (Onchorynchus spp.). Because redds tend to be spatially aggregated, estimates of total redds based on subsamples of the potential spawning grounds can be uncertain unless the spatial structure is accounted for. Here we use known redd locations for three populations over several years to compare five different probability sampling designs through simulation. The coefficient of variation (CV) for estimates based on simple random sampling was high, with values well over 15% when sampling a third of the reache
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Ferré, Chiara, Gaia Mascetti, and Roberto Comolli. "High-Density Poplar SRC Accumulates More Soil Organic Carbon Than Very-High-Density SRC." Agronomy 11, no. 3 (2021): 584. http://dx.doi.org/10.3390/agronomy11030584.

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Short rotation coppice (SRC) systems play an important role in producing renewable energy and contributing to soil organic carbon storage while providing potential mitigation for climate change. Our chronosequence study assessed the influence of 6 years of high-density (H) and very-high-density (VH) SRCs on soil organic carbon (SOC) accumulation in an alluvial area of Piedmont (Italy) by investigating the effects of agronomic management (fertilization, irrigation, fertilization and irrigation, no treatment) using a spatial survey approach. A first sampling was performed at 40 points to charact
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Sampson, A., and J. Williamson. "TH-E-BRC-01: Efficient High Spatial Resolution Brachytherapy Dose Computation Using Low Spatial-Resolution Correlated-Sampling Monte Carlo Simulation." Medical Physics 38, no. 6Part36 (2011): 3868–69. http://dx.doi.org/10.1118/1.3613569.

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Nelli, Luca, Heather M. Ferguson, and Jason Matthiopoulos. "Achieving explanatory depth and spatial breadth in infectious disease modelling: Integrating active and passive case surveillance." Statistical Methods in Medical Research 29, no. 5 (2019): 1273–87. http://dx.doi.org/10.1177/0962280219856380.

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Ideally, the data used for robust spatial prediction of disease distribution should be both high-resolution and spatially expansive. However, such in-depth and geographically broad data are rarely available in practice. Instead, researchers usually acquire either detailed epidemiological data with high resolution at a small number of active sampling sites, or more broad-ranging but less precise data from passive case surveillance. We propose a novel inferential framework, capable of simultaneously drawing insights from both passive and active data types. We developed a Bayesian latent point pr
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Nachamkin, Jason E., and Jerome Schmidt. "Applying a Neighborhood Fractions Sampling Approach as a Diagnostic Tool." Monthly Weather Review 143, no. 11 (2015): 4736–49. http://dx.doi.org/10.1175/mwr-d-14-00411.1.

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Abstract The fractions skill score (FSS) belongs to a class of spatial neighborhood techniques that measures forecast skill from samples of gridded forecasts and observations at increasing spatial scales. Each sample contains the fraction of the predicted and observed quantities that exist above a threshold value. Skill is gauged by the rate that the observed and predicted fractions converge with increasing scale. In this study, neighborhood sampling is applied to diagnose the performance of high-resolution (1.67 km) precipitation forecasts over central Florida. Reliability diagrams derived fr
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Roberts, S., H. Xin, R. Swestka, M. Yum, and K. Bregendahl. "Spatial variation of manure nutrients and manure sampling strategy in high-rise laying-hen houses." Journal of Applied Poultry Research 25, no. 3 (2016): 428–36. http://dx.doi.org/10.3382/japr/pfw013.

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Pierpaolo, Marchesini, and Grasmueck Mark. "The impact of high‐density spatial sampling versus antenna orientation on 3D GPR fracture imaging." Near Surface Geophysics 13, no. 2 (2014): 197–207. http://dx.doi.org/10.3997/1873-0604.2015007.

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Zhu, He, David G. Buck, Zhenghui Zhang, et al. "High temporal and spatial resolution 4D MRA using spiral data sampling and sliding window reconstruction." Magnetic Resonance in Medicine 52, no. 1 (2004): 14–18. http://dx.doi.org/10.1002/mrm.20167.

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Piercy, Julius J. B., David J. Smith, Jamaluddin Jompa, Stephen D. Simpson, and Edward A. Codling. "High temporal resolution sampling reveals reef fish settlement is highly clustered." Canadian Journal of Fisheries and Aquatic Sciences 75, no. 4 (2018): 560–68. http://dx.doi.org/10.1139/cjfas-2016-0318.

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Coral reef fish larvae settle on reefs predominantly at night around the new-moon phase, after an early developmental period spent in the pelagic environment. Most sampling is conducted across whole nights, and any studies that have examined the frequency of arrival within nights have typically been limited to coarse sampling time scales of 1–5 h. Here, we present results for arrival numbers of fish caught between dusk and midnight from light traps sampled every 15 min at an Indonesian coral reef, providing the finest temporal resolution for this type of study to date. A spatial analysis by di
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Jameson, A. R. "Spatial and Temporal Network Sampling Effects on the Correlation and Variance Structures of Rain Observations." Journal of Hydrometeorology 18, no. 1 (2017): 187–96. http://dx.doi.org/10.1175/jhm-d-16-0129.1.

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Abstract Network observations are affected by the length of the temporal interval over which measurements are combined as well as by the size of the network. When the observation interval is small, only network size matters. Networks then act as high-pass filters that distort both the spatial correlation function ρr and, consequently, the variance spectrum. For an exponentially decreasing ρr, a method is presented for returning the observed spatial correlation to its original, intrinsic value. This can be accomplished for other forms of ρr. When the observation interval becomes large, however,
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Li, Chenming, Xiaoyu Qu, Yao Yang, Dan Yao, Hongmin Gao, and Zaijun Hua. "Composite Clustering Sampling Strategy for Multiscale Spectral-Spatial Classification of Hyperspectral Images." Journal of Sensors 2020 (June 15, 2020): 1–17. http://dx.doi.org/10.1155/2020/9637839.

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In recent years, many high-performance spectral-spatial classification methods were proposed in the field of hyperspectral image classification. At present, a great quantity of studies has focused on developing methods to improve classification accuracy. However, some research has shown that the widely adopted pixel-based random sampling strategy is not suitable for spectral-spatial hyperspectral image classification algorithms. Therefore, a composite clustering sampling strategy is proposed, which can greatly reduce the overlap between the training set and the test set, while making sample po
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Colarco, P. R., R. A. Kahn, L. A. Remer, and R. C. Levy. "Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends." Atmospheric Measurement Techniques 7, no. 7 (2014): 2313–35. http://dx.doi.org/10.5194/amt-7-2313-2014.

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Abstract. We use the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite aerosol optical thickness (AOT) product to assess the impact of reduced swath width on global and regional AOT statistics and trends. Along-track and across-track sampling strategies are employed, in which the full MODIS data set is sub-sampled with various narrow-swath (~ 400–800 km) and single pixel width (~ 10 km) configurations. Although view-angle artifacts in the MODIS AOT retrieval confound direct comparisons between averages derived from different sub-samples, careful analysis shows that with many port
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Gilby, Ben L., Ian R. Tibbetts, and Tim Stevens. "Low functional redundancy and high variability in Sargassum browsing fish populations in a subtropical reef system." Marine and Freshwater Research 68, no. 2 (2017): 331. http://dx.doi.org/10.1071/mf15386.

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Establishing levels of functional redundancy in browsing fish populations among sampling periods and across spatial gradients is important in understanding coral reef functioning. We used baited video techniques to determine functional redundancy and variability in browsing herbivores within no-take marine protected areas (MPAs) and reference fished sites across two sampling periods and four reef types (scaling from high to low coral cover) in Moreton Bay, Australia (~27°S, 153°E). We hypothesised higher herbivore abundance and browsing rates in MPAs due to protection from fishing, but lower f
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Zlotnik, V. A., R. F. Spalding, M. E. Exner, and M. E. Burbach. "Sampling of Non-Point Source Contamination in High-Capacity Wells." Water Science and Technology 28, no. 3-5 (1993): 409–13. http://dx.doi.org/10.2166/wst.1993.0443.

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In order to ascertain the variability in analytical concentrations that could occur during pumping of high-capacity irrigation wells, nitrate and atrazine concentrations were measured during prolonged pumping. Five high-capacity irrigation wells were selected in heavily irrigated areas of Nebraska with non-point source contamination. The wells were screened in different sediment types which included sands and gravels, sandstone, and fractured siltstone. Results indicated that in four of the wells random variations in the concentrations of the two analytes were dampened during the first 0.25 hr
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JENSEN, JØRGEN ARENDT. "SPEED-ACCURACY TRADE-OFFS IN COMPUTING SPATIAL IMPULSE RESPONSES FOR SIMULATING MEDICAL ULTRASOUND IMAGING." Journal of Computational Acoustics 09, no. 03 (2001): 731–44. http://dx.doi.org/10.1142/s0218396x01001248.

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Medical ultrasound imaging can be simulated realistically using linear acoustics. One of the most powerful approaches is to employ spatial impulse responses. Hereby both emitted fields and pulse-echo responses from point scatterers can be determined. Also any kind of dynamic focusing and apodization can be incorporated, as has been done in the Field II simulation program. Here the transducer is modeled through a set of either rectangles, triangles, or bounding lines, so that any geometry can be simulated. The response from the transducer is found by summing the spatial impulse responses from t
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Iddianozie, Chidubem, and Gavin McArdle. "Improved Graph Neural Networks for Spatial Networks Using Structure-Aware Sampling." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 674. http://dx.doi.org/10.3390/ijgi9110674.

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Graph Neural Networks (GNNs) have received wide acclaim in recent times due to their performance on inference tasks for unstructured data. Typically, GNNs operate by exploiting local structural information in graphs and disregarding their global structure. This is influenced by assumptions of homophily and unbiased class distributions. As a result, this could impede model performance on noisy real-world graphs such as spatial graphs where these assumptions may not be sufficiently held. In this article, we study the problem of graph learning on spatial graphs. Particularly, we focus on transduc
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Posselt, Malte, Anna Jaeger, Jonas L. Schaper, Michael Radke, and Jonathan P. Benskin. "Determination of polar organic micropollutants in surface and pore water by high-resolution sampling-direct injection-ultra high performance liquid chromatography-tandem mass spectrometry." Environmental Science: Processes & Impacts 20, no. 12 (2018): 1716–27. http://dx.doi.org/10.1039/c8em00390d.

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46

Risser, Mark D., and Michael F. Wehner. "The effect of geographic sampling on evaluation of extreme precipitation in high-resolution climate models." Advances in Statistical Climatology, Meteorology and Oceanography 6, no. 2 (2020): 115–39. http://dx.doi.org/10.5194/ascmo-6-115-2020.

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Abstract. Traditional approaches for comparing global climate models and observational data products typically fail to account for the geographic location of the underlying weather station data. For modern global high-resolution models with a horizontal resolution of tens of kilometers, this is an oversight since there are likely grid cells where the physical output of a climate model is compared with a statistically interpolated quantity instead of actual measurements of the climate system. In this paper, we quantify the impact of geographic sampling on the relative performance of high-resolu
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Ding, Li, Xi Ding, Yangyang Ye, Sixuan Wu, and Yiming Zhu. "HIGH-RESOLUTION GRID-INDEPENDENT IMAGING FOR TERAHERTZ 2-D SYNTHETIC APERTURE RADAR WITH SPATIAL UNDER-SAMPLING." Progress In Electromagnetics Research 160 (2017): 29–39. http://dx.doi.org/10.2528/pier17040101.

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Räsänen, Aleksi, Sari Juutinen, Mika Aurela, and Tarmo Virtanen. "Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling." International Journal of Remote Sensing 40, no. 3 (2018): 1175–99. http://dx.doi.org/10.1080/01431161.2018.1524176.

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Wang, Zhao, Gong-Xiang Wei, Xiao-Lu Ge, Hui-Qiang Liu, and Ben-Yi Wang. "High-resolution quantitative phase imaging based on a spatial light modulator and incremental binary random sampling." Applied Optics 59, no. 20 (2020): 6148. http://dx.doi.org/10.1364/ao.393158.

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Zhang, Pingping, Yunqiang Wang, Hui Sun, Lijun Qi, Hao Liu, and Zhe Wang. "Spatial variation and distribution of soil organic carbon in an urban ecosystem from high-density sampling." CATENA 204 (September 2021): 105364. http://dx.doi.org/10.1016/j.catena.2021.105364.

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