Academic literature on the topic 'Spatial point patterns'

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Journal articles on the topic "Spatial point patterns"

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Ayala, G., I. Epifanio, A. Simó, and V. Zapater. "Clustering of spatial point patterns." Computational Statistics & Data Analysis 50, no. 4 (2006): 1016–32. http://dx.doi.org/10.1016/j.csda.2004.10.013.

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Symanzik, Jürgen. "Statistical Analysis of Spatial Point Patterns." Technometrics 47, no. 4 (2005): 516–17. http://dx.doi.org/10.1198/tech.2005.s318.

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Schilcher, Udo, Günther Brandner, and Christian Bettstetter. "Quantifying inhomogeneity of spatial point patterns." Computer Networks 115 (March 2017): 65–81. http://dx.doi.org/10.1016/j.comnet.2016.12.018.

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Solow, Andrew R. "Bootstrapping Sparsely Sampled Spatial Point Patterns." Ecology 70, no. 2 (1989): 379–82. http://dx.doi.org/10.2307/1937542.

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Katti, S. K., Peter J. Diggle, and Brian D. Ripley. "Statistical Analysis of Spatial Point Patterns." Journal of the American Statistical Association 81, no. 393 (1986): 263. http://dx.doi.org/10.2307/2288020.

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Pellegrini, Pasquale A., and Steven Reader. "Duration Modeling of Spatial Point Patterns." Geographical Analysis 28, no. 3 (2010): 219–43. http://dx.doi.org/10.1111/j.1538-4632.1996.tb00932.x.

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OGATA, Yosihiko, and Masaharu TANEMURA. "THE LIKELIHOOD ANALYSIS FOR SPATIAL POINT PATTERNS." Japanese Journal of Biometrics 8, no. 1 (1987): 1_27–38. http://dx.doi.org/10.5691/jjb.8.1_27.

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Baddeley, Adrian, and Rolf Turner. "Practical Maximum Pseudolikelihood for Spatial Point Patterns." Australian & New Zealand Journal of Statistics 42, no. 3 (2000): 283–322. http://dx.doi.org/10.1111/1467-842x.00128.

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HöUgmander, Harri, and Aila SäUrkkä. "Multitype Spatial Point Patterns with Hierarchical Interactions." Biometrics 55, no. 4 (1999): 1051–58. http://dx.doi.org/10.1111/j.0006-341x.1999.01051.x.

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Baddeley, Adrian, and Rolf Turner. "Practical maximum pseudolikelihood for spatial point patterns." Advances in Applied Probability 30, no. 2 (1998): 273. http://dx.doi.org/10.1017/s000186780004698x.

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Dissertations / Theses on the topic "Spatial point patterns"

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Moradi, Mohammad Mehdi. "Spatial and spatio-temporal point patterns on linear networks." Doctoral thesis, Universitat Jaume I, 2018. http://hdl.handle.net/10803/664140.

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A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information Systems<br>The last decade witnessed an extraordinary increase in interest in the analysis of network related data and trajectories. This pervasive interest is partly caused by a strongly expanded availability of such datasets. In the spatial statistics field, there are numerous real examples such as the locations of traffic accidents and geo-coded locations of crimes in the streets of cities that need to restrict the support of the un
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Wilson, Helen Elizabeth. "Statistical analysis of replicated spatial point patterns." Thesis, Lancaster University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268009.

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The field of pathology provides us with many opportunities for collecting replicated spatial data. Using an ordinary microscope, for example, we can digitise cell positions within windows imposed on pieces of tissue. Suppose now that we have some such replicated spatial data from several groups of individuals, where each point in each window represents a cell position. We seek to determine whether the spatial arrangement of cells differs between the groups. We propose and develop a new method which allows us to answer such questions, and apply it to some spatial neuro-anatomical data. We intro
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Doguwa, S. I. "Statistical analysis of mapped spatial point patterns." Thesis, University of Essex, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383379.

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González, Monsalve Jonatan A. "Statistical tests for comparisons of spatial and spatio-temporal point patterns." Doctoral thesis, Universitat Jaume I, 2018. http://hdl.handle.net/10803/462034.

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We mainly introduce a new set of tests to compare functional descriptors in point processes context. Firstly, since the study of spatio-temporal point processes has not been widely covered in the literature, a complete review is made. The review is a reference paper of the available techniques and approaches regarding the spatio-temporal context. Secondly, a studentized permutation test is developed in the spatio-temporal case. This test is motivated by locations of tornadoes in the U.S. in a period of 36 years. Some tools have been developed as a non-separable estimator of the first-order int
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Pereira, Sandra M. C. "Analysis of spatial point patterns using hierarchical clustering algorithms." University of Western Australia. School of Mathematics and Statistics, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0056.

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[Formulae and special characters can only be approximated here. Please see the pdf version of the abstract for an accurate reproduction.] This thesis is a new proposal for analysing spatial point patterns in spatial statistics using the outputs of popular techniques of (classical, non-spatial, multivariate) cluster analysis. The outputs of a chosen hierarchical algorithm, named fusion distances, are applied to investigate important spatial characteristics of a given point pattern. The fusion distances may be regarded as a missing link between the fields of spatial statistics and multivariate
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Liu, Jie. "Exploring Ways of Identifying Outliers in Spatial Point Patterns." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2528.

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This work discusses alternative methods to detect outliers in spatial point patterns. Outliers are defined based on location only and also with respect to associated variables. Throughout the thesis we discuss five case studies, three of them come from experiments with spiders and bees, and the other two are data from earthquakes in a certain region. One of the main conclusions is that when detecting outliers from the point of view of location we need to take into consideration both the degree of clustering of the events and the context of the study. When detecting outliers from the point of v
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Soale, Abdul-Nasah. "Spatio-Temporal Analysis of Point Patterns." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3120.

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In this thesis, the basic tools of spatial statistics and time series analysis are applied to the case study of the earthquakes in a certain geographical region and time frame. Then some of the existing methods for joint analysis of time and space are described and applied. Finally, additional research questions about the spatial-temporal distribution of the earthquakes are posed and explored using statistical plots and models. The focus in the last section is in the relationship between number of events per year and maximum magnitude and its effect on how clustered the spatial distribution is
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Pranchai, Aor. "Spatial patterns and processes in a regenerating mangrove forest." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-171569.

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The global effort to rehabilitate and restore destroyed mangrove forests is unable to keep up with the high mangrove deforestation rates which exceed the average pace of global deforestation by three to five times. Our knowledge of the underlying processes of mangrove forest regeneration is too limited in order to find suitable techniques for the restoration of degraded mangrove areas. The general objective of my dissertation was to improve mangrove restoration by understanding regeneration processes and local plant-plant interaction in a regenerating Avicennia germinans forest. The study was
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Packard, Kevin Carew. "Modeling spatial patterns of mixed-species Appalachian forests with Gibbs point processes." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/37385.

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Stochastic point processes and associated methodology provide a means for the statistical analysis and modeling of the spatial point pattern formed from forest tree stem locations. Stochastic Gibbs point processes were explored as models that could simulate short-range clustering arising from reproduction of trees by stump sprouting, and intermediate-range inhibition of trees that may result from competition for light and growing space. This study developed and compared three pairwise interaction processes with parametric models for 2nd-order potentials and three triplets processes with models
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Stanford, Derek C. "Fast automatic unsupervised image segmentation and curve detection in spatial point patterns /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/8976.

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Books on the topic "Spatial point patterns"

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Illian, Janine, Antti Penttinen, Helga Stoyan, and Dietrich Stoyan. Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470725160.

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Gelfand, Alan E., and Erin M. Schliep. Bayesian Inference and Computing for Spatial Point Patterns. Institute of Mathematical Statistics and American Statistical Association, 2018. http://dx.doi.org/10.1214/cbms/1530065028.

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Janine, Illian, ed. Statistical analysis and modelling of spatial point patterns. John Wiley, 2008.

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Janine, Illian, ed. Statistical analysis and modelling of spatial point patterns. John Wiley, 2008.

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Gatrell, Anthony C. On modelling spatial point patterns in epidemiology: Cancer of the larynx in Lancashire. NorthWest Regional Research Laboratory, 1990.

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Boots, B. N. Point pattern analysis. Sage Publications, 1988.

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Rowlingson, B. S. SPLANCS: Spatial point pattern analysis code in S-Plus. NorthWest Regional Research Laboratory, 1991.

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Baddeley, Adrian, Ege Rubak, and Rolf Turner. Spatial Point Patterns. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b19708.

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STATISTICAL ANALYSIS OF SPATIAL POINT PATTERNS. 2nd ed. ARNOLD, 2003.

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Statistical Analysis Of Spatial And Spatiotemporal Point Patterns. Taylor & Francis Inc, 2013.

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Book chapters on the topic "Spatial point patterns"

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Young, Linda J., and Jerry H. Young. "Spatial Point Patterns." In Statistical Ecology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2829-3_8.

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Moraga, Paula. "Spatial point patterns." In Spatial Statistics for Data Science. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781032641522-17.

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Kaluzny, Stephen P., Silvia C. Vega, Tamre P. Cardoso, and Alice A. Shelly. "Analyzing Spatial Point Patterns." In S+SpatialStats. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4615-7826-0_6.

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Stoica, Radu S. "Marked point processes." In Random Patterns and Structures in Spatial Data. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003380382-2.

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Baddeley, Adrian. "Spatial Point Patterns: Models and Statistics." In Stochastic Geometry, Spatial Statistics and Random Fields. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33305-7_3.

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Ariza, Juan Medina, and Reka Solymosi. "Spatial point patterns of crime events." In Crime Mapping and Spatial Data Analysis using R. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003154914-7.

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Andreano, M. Simona, and Andrea Mazzitelli. "Exploring Spatial Point Patterns in Agriculture." In Spatial Econometric Methods in Agricultural Economics Using R. CRC Press, 2021. http://dx.doi.org/10.1201/9780429155628-7.

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Getis, Arthur, and Janet Franklin. "Second-Order Neighborhood Analysis of Mapped Point Patterns." In Perspectives on Spatial Data Analysis. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-642-01976-0_7.

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Pawlasová, Kateřina, Iva Karafiátová, and Jiří Dvořák. "Supervised Classification via Neural Networks for Replicated Point Patterns." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_32.

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AbstractA spatial point pattern is a collection of points observed in a bounded region of $${\bf{\mathbb{R}}}^d$$ R d , $$d \ge 2$$ d ≥ 2 . Individual points represent, e.g., observed locations of cell nuclei in a tissue (d = 2) or centers of undesirable air bubbles in industrial materials (d = 3). The main goal of this paper is to show the possibility of solving the supervised classification task for point patterns via neural networks with general input space. To predict the class membership for a newly observed pattern, we compute an empirical estimate of a selected functional characteristic
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Knura, Martin, and Jochen Schiewe. "Improvement of Task-Oriented Visual Interpretation of VGI Point Data." In Volunteered Geographic Information. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35374-1_10.

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AbstractVGI is often generated as point data representing points of interest (POIs) and semantic qualities (such as accident locations) or quantities (such as noise levels), which can lead to geometric and thematic clutter in visual presentations of regions with numerous VGI contributions. As a solution, cartography provides several point generalization operations that reduce the total number of points and therefore increase the readability of a map. However, these operations are applied rather general and could remove specific spatial pattern, possibly leading to false interpretations in task
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Conference papers on the topic "Spatial point patterns"

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Zhang, LeLe, Xin Wu, Kailun Liu, and Chenfeng Xiong. "Evaluating the Spatial-Temporal Impact of Urban Flooding on Mobility Patterns and Point of Interest." In 2024 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2024. https://doi.org/10.1109/ghtc62424.2024.10771563.

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Zulfana, Nadiya Firma, Nur Iriawan, and Christiono Utomo. "On the Spatial Point Pattern on Customer Affect Retail Fuel Stations Businesses." In 2024 IEEE International Symposium on Consumer Technology (ISCT). IEEE, 2024. https://doi.org/10.1109/isct62336.2024.10791245.

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Yu, JinCheng, Ling Wang, ChengWen Zheng, and Xiang Zhang. "A spatial point target recognition algorithm combining image registration and improved K-means clustering." In International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2025), edited by Haiquan Zhao and Xinhua Tang. SPIE, 2025. https://doi.org/10.1117/12.3070855.

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"The impact of spatial scales on discretised spatial point patterns." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.i4.kang.

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Martynova, Evgenia, and Johannes Textor. "A Uniformly Bounded Correlation Function for Spatial Point Patterns." In KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2024. http://dx.doi.org/10.1145/3637528.3671891.

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Burguet, Jasmine, Philippe Mailly, and Philippe Andrey. "Statistical groupwise comparison of spatial point patterns in biological imaging." In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556510.

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Skolnick, Michael M., and Peter Marineau. "Pebble_Pond: a morphological wave propagation algorithm for representing spatial point patterns." In San Diego '92, edited by Paul D. Gader, Edward R. Dougherty, and Jean C. Serra. SPIE, 1992. http://dx.doi.org/10.1117/12.60654.

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Maćešić, Stevan, Ana Ivanović-Šašić, and Željko Čupić. "NUMERICAL SIMULATIONS OF SPATIO-TEMPORAL PHENOMENA IN BELOUSOV-ZHABOTINSKY OSCILLATORY REACTION." In 17th International Conference on Fundamental and Applied Aspects of Physical Chemistry. Society of Physical Chemists of Serbia, 2024. https://doi.org/10.46793/phys.chem24i.143m.

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This study investigates the Belousov-Zhabotinsky reaction’s spatio-temporal patterns using a realistic numerical model. Our simulations show that when spatially uniform system is unstable conditions, traveling waves emerge from a central point and move inwards when spatial inhomogeneities are introduced. Stable conditions, however, lead to Turing patterns, expanding outwards to form stationary zones of high and low concentrations. These findings emphasize diffusion’s key role in shaping the BZ reaction’s dynamics, offering insights for understanding nonequilibrium systems and potential applica
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Kirchner, Thomas R., Donna Vallone, Jennifer Cantrell, et al. "Individual mobility patterns and real-time geo-spatial exposure to point-of-sale tobacco marketing." In the conference. ACM Press, 2012. http://dx.doi.org/10.1145/2448096.2448104.

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Kanfar, Rayan, Charles Breithaupt, and Tapan Mukerji. "Spatial statistical analysis and geomodelling of banana holes using point patterns and generative adversarial networks." In International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2023. http://dx.doi.org/10.1190/image2023-3905116.1.

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Reports on the topic "Spatial point patterns"

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Peterson, Brian, J. Beeco, Sharolyn Anderson, and Damon Joyce. Exploring spatial patterns of overflights at Mount Rushmore National Memorial. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293663.

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The purpose of this study was to explore the spatial patterns of overflights at Mount Rushmore National Memorial (Mount Rushmore). Overflights were analyzed from August 15th, 2020 to May 15th, 2021 using Automatic Dependent Surveillance-Broadcast (ADS-B) and radar data from L3Harris. The first phase of analysis focused on all overflights and found a high concentration of overflights fly above Mount Rushmore. The second phase of analysis focused on low-level overflights that fly below 9,000ft mean sea level (MSL), which showed that many low-level overflights fly in a ring-shaped pattern around
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Dasberg, Shmuel, Jan W. Hopmans, Larry J. Schwankl, and Dani Or. Drip Irrigation Management by TDR Monitoring of Soil Water and Solute Distribution. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568095.bard.

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Drip irrigation has the potential of high water use efficiency, but actual water measurement is difficult because of the limited wetted volume. Two long-term experiments in orchards in Israel and in California and several field crop studies supported by this project have demonstrated the feasibility of precise monitoring of soil water distribution for drip irrigation in spite of the limited soil wetting. Time Domain Reflectometry (TDR) enables in situ measurement of soil water content of well defined small volumes. Several approaches were tried in monitoring the soil water balance in the field
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Stjernberg, Mats, Anna Vasilevskaya, and Oskar Penje. Towards a grid-based Nordic territorial typology - A new tool for analysis across the urban-rural continuum. Nordregio, 2024. http://dx.doi.org/10.6027/r2024:91403-2503.

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This report presents the grid-based Nordic urban–rural typology, which was developed as a new analytical tool for studying different types of spatial phenomena across Nordic territories. In this study this meant developing a typology that classifies all Nordic territories into seven different typology classes based on different degrees of urbanity and rurality. A key starting point for this work was the need for a territorial typology that would help enrich and provide new understanding of different types of urban and rural areas across the Nordic countries and shed light on how they are devel
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Bell, Matthew A., and Marcel P. Huijser. Patterns of Domestic Animal-Vehicle Collisions on Tribal Lands in Montana, U.S. Western Transportation Institute, 2024. http://dx.doi.org/10.15788/1727735166.

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Animal-vehicle collisions (AVCs) are a significant concern for motorist safety and pose a risk to both wildlife and domestic animals. This report analyzes spatial patterns of wildlife-vehicle collisions (WVCs) and domestic animal-vehicle collisions (DAVCs) on Montana’s tribal lands to identify high-risk areas and inform mitigation strategies. Data from the Montana Department of Transportation (MDT) for large mammal carcasses (2008–2022) and reported crashes (2008–2020) were used to perform Kernel Density Estimation (KDE) and Getis-Ord Gi* (GOG) hotspot analyses for three tribal reservations wi
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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, fo
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Tercek, Michael. Climate monitoring in the Mediterranean Coast Network 2020: Santa Monica Mountains National Recreation Area. National Park Service, 2022. http://dx.doi.org/10.36967/2294435.

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This report details the climate (temperature, precipitation, drought, and streamflow) of Santa Monica Mountains National Recreation Area (NRA) during 2020. Gridded GIS maps are used to present broad-brush conditions across the region for each month. This regional presentation is compared to detailed data from Remote Automated Weather Stations (RAWS), weather stations in Global Historical Climatology Network (GHCN), and data from USGS stream gages. Prior to analysis, a set of data quality control checks were performed by the authors in accordance with an established National Park Service protoc
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Thoma, David. Landscape phenology, vegetation condition, and relations with climate at Capitol Reef National Park, 2000–2019. Edited by Alice Wondrak Biel. National Park Service, 2023. http://dx.doi.org/10.36967/2297289.

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Quantitatively linking satellite observations of vegetation condition and climate data over time provides insight to climate influences on primary production, phenology (timing of growth), and sensitivity of vegetation to weather and longer-term patterns of weather referred to as climate. This in turn provides a basis for understanding potential climate impacts to vegetation—and the potential to anticipate cascading ecological effects, such as impacts to forage, habitat, fire potential, and erosion, as climate changes in the future. This report provides baseline information about vegetation pr
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Thoma, David. Landscape phenology, vegetation condition, and relations with climate at Canyonlands National Park, 2000–2019. Edited by Alice Wondrak Biel. National Park Service, 2023. http://dx.doi.org/10.36967/2299619.

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Quantitatively linking satellite observations of vegetation condition and climate data over time provides insight to climate influences on primary production, phenology (timing of growth), and sensitivity of vegetation to weather and longer-term patterns of weather referred to as climate. This in turn provides a basis for understanding potential climate impacts to vegetation—and the potential to anticipate cascading ecological effects—such as impacts to forage, habitat, fire potential, and erosion—as climate changes in the future. This report provides baseline information about vegetation prod
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