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Trend analysis methods for environmental data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/env.3170030403openalex-snapshot
On kendall's tau as a test of trend in time series data
inferredcites →https://doi.org/10.1002/env.3770020204openalex-snapshot
Trend detection in the presence of covariates: Stagewise versus multiple regression
inferredcites →https://doi.org/10.1002/env.3770020205openalex-snapshot
Trend analysis methodology for water quality time series
inferredcites →https://doi.org/10.1007/978-1-4613-8122-8openalex-snapshot
Simultaneous Statistical Inference
inferredcites →https://doi.org/10.1007/bf00014216openalex-snapshot
Analysis of multiple depth profiles in sediment cores: an application to pollen and diatom data from lakes sensitive to acidification
inferredcites →https://doi.org/10.1007/bf00394242openalex-snapshot
Robust graphical methods for diagnosing trend in irregularly spaced water quality time series
inferredcites →https://doi.org/10.1007/bf00406963openalex-snapshot
Detection of water quality changes along a river system
inferredcites →https://doi.org/10.1007/bf01890836openalex-snapshot
Computational methods for local regression
inferredcites →https://doi.org/10.1016/s0166-1116(08)71099-9openalex-snapshot
Preface
inferredcites →https://doi.org/10.1016/s0166-1116(08)x7035-9openalex-snapshot
Statistical Methods in Water Resources
inferredcites →https://doi.org/10.1016/s0167-5648(08)70731-7openalex-snapshot
Analysis of Water Temperature Records Using A Deterministic-Stochastic Model
inferredcites →https://doi.org/10.1016/s0380-1330(83)71892-7openalex-snapshot
A Statistical Evaluation of Trends in the Water Quality of the Niagara River
inferredcites →https://doi.org/10.1029/91wr00478openalex-snapshot
Statistical estimation and interpretation of trends in water quality time series
inferredcites →https://doi.org/10.1029/wr008i001p00087openalex-snapshot
Stochastic modeling of temperature and flow in rivers
inferredcites →https://doi.org/10.1029/wr012i005p01037openalex-snapshot
Detection of trends in water quality data from records with dependent observations
inferredcites →https://doi.org/10.1029/wr018i001p00107openalex-snapshot
Techniques of trend analysis for monthly water quality data
inferredcites →https://doi.org/10.1029/wr020i001p00127openalex-snapshot
Nonparametric Tests for Trend in Water Quality
inferredcites →https://doi.org/10.1029/wr020i003p00347openalex-snapshot
Time‐Variant Differences in Chemistry Among Four Small Streams
inferredcites →https://doi.org/10.1029/wr020i006p00727openalex-snapshot
A Nonparametric Trend Test for Seasonal Data With Serial Dependence
inferredcites →https://doi.org/10.1029/wr024i011p01955openalex-snapshot
Using exogenous variables in testing for monotonic trends in hydrologic time series
inferredcites →https://doi.org/10.1080/01621459.1968.10480934openalex-snapshot
Estimates of the Regression Coefficient Based on Kendall's Tau
inferredcites →https://doi.org/10.1080/01621459.1987.10478386openalex-snapshot
Impact of Chlorofluoromethanes on Stratospheric Ozone
inferredcites →https://doi.org/10.1111/j.1752-1688.1983.tb02768.xopenalex-snapshot
TREND ASSESSMENT OF WATER QUALITY TIME SERIES1
inferredcites →https://doi.org/10.1111/j.1752-1688.1988.tb00899.xopenalex-snapshot
STATISTICAL METHODS AND SAMPLING DESIGN FOR ESTIMATING STEP TRENDS IN SURFACE‐WATER QUALITY1
inferredcites →https://doi.org/10.1111/j.1752-1688.1988.tb00900.xopenalex-snapshot
MULTIVARIATE NONPARAMETRIC TESTS FOR TREND IN WATER QUALITY1
inferredcites →https://doi.org/10.2307/2289120openalex-snapshot
Impact of Chlorofluoromethanes on Stratospheric Ozone: A Statistical Analysis of Ozone Data for Trends
inferredcites →https://doi.org/10.2307/2290180openalex-snapshot
Statistical Methods for Environmental Pollution Monitoring.
inferredcites →https://doi.org/10.2307/2346352openalex-snapshot
Inference about the Point of Change in a Regression Model
inferredcites →https://doi.org/10.2307/2346729openalex-snapshot
A Non-Parametric Approach to the Change-Point Problem
inferredcites →https://doi.org/10.2307/2531822openalex-snapshot
Kendall's and Spearman's Correlation Coefficients in the Presence of a Blocking Variable

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4693502openalex-extracted
Spatiotemporal Modelling of Water Quality in a Complex Riverine System with Physical Barriers
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Penalty as a component of review strategies for effective enforcement of environmental regulations
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SEQUENTIAL ANALYSIS OF ENVIRONMENTAL MONITORING DATA: OPTIMAL SPRTs
inferred← citeshttps://doi.org/10.1002/(sici)1099-1085(199602)10:2<127::aid-hyp354>3.0.co;2-8openalex-snapshot
Review of methods for the detection and estimation of trends with emphasis on water quality applications
inferred← citeshttps://doi.org/10.1002/9780470057339.vac015.pub2openalex-snapshot
Change, Detecting
inferred← citeshttps://doi.org/10.1002/9780470057339.vat001openalex-snapshot
Temporal Change
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07670openalex-snapshot
Change, Detecting
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07781openalex-snapshot
Temporal Change
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07781.pub2openalex-snapshot
Temporal Change
inferred← citeshttps://doi.org/10.1002/9781119991571.ch2openalex-snapshot
Exploratory Analysis
inferred← citeshttps://doi.org/10.1002/9781119991571.ch4openalex-snapshot
Nonparametric Trend Estimation
inferred← citeshttps://doi.org/10.1002/env.1112openalex-snapshot
Water quality monitoring using cluster analysis and linear models
inferred← citeshttps://doi.org/10.1002/env.504openalex-snapshot
Constrained multivariate trend analysis applied to water quality variables
inferred← citeshttps://doi.org/10.1002/env.929openalex-snapshot
Nonparametric trend detection in river monitoring network data: a spatio‐temporal approach
inferred← citeshttps://doi.org/10.1007/698_2015_407openalex-snapshot
Trend Assessment for Groundwater Pollutants: A Brief Review and Some Remarks
inferred← citeshttps://doi.org/10.1007/bf01585604openalex-snapshot
Can a costly reporting system make environmental enforcement more efficient?
inferred← citeshttps://doi.org/10.1007/s10040-015-1309-3openalex-snapshot
Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK
inferred← citeshttps://doi.org/10.1007/s13201-022-01842-wopenalex-snapshot
Climate change impact on hydro-climatic variables of Ribb watershed, Tana sub-basin, Ethiopia
inferred← citeshttps://doi.org/10.1016/0198-8859(94)91969-0openalex-snapshot
Comparison of DNA detection methods
inferred← citeshttps://doi.org/10.1016/j.ecolind.2015.05.006openalex-snapshot
Identifying indicators and essential variables for marine ecosystems
inferred← citeshttps://doi.org/10.1016/j.hal.2026.103089openalex-snapshot
Paleolimnology uncovers environmental drivers of cyanobacterial blooms, species shifts and toxin emergence
inferred← citeshttps://doi.org/10.1016/j.jenvman.2014.10.018openalex-snapshot
A systematic review of socio-economic assessments in support of coastal zone management (1992–2011)
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.03.005openalex-snapshot
Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.174843openalex-snapshot
Spatiotemporal smoothing of water quality in a complex riverine system with physical barriers
inferred← citeshttps://doi.org/10.1016/s1352-2310(01)00342-9openalex-snapshot
Linear trend analysis: a comparison of methods
inferred← citeshttps://doi.org/10.1021/es000989popenalex-snapshot
Seasonal and Long-Term Nutrient Trend Decomposition along a Spatial Gradient in the Neuse River Watershed
inferred← citeshttps://doi.org/10.1029/2025wr040978openalex-snapshot
Global Warming Enhances Nitrogen‐Limitation in a Temperate Reservoir System Under Continued External Load
inferred← citeshttps://doi.org/10.1039/c0em00376jopenalex-snapshot
Statistical analysis of trends in organic pollution and pollution by nutrients at selected Danube river stations
inferred← citeshttps://doi.org/10.1051/alr/2009019openalex-snapshot
A selection of nonparametric statistical methods for assessing trends in trawl survey indicators as part of an ecosystem approach to fisheries management (EAFM)
inferred← citeshttps://doi.org/10.1061/9780784483466.049openalex-snapshot
Analysis and Modeling of Frozen Ground and Soil Temperature in North Dakota
inferred← citeshttps://doi.org/10.1080/02664760600679775openalex-snapshot
On the efficiency of regression analysis with AR(p) errors
inferred← citeshttps://doi.org/10.1093/scipol/scu032openalex-snapshot
Are assessments responding to a dynamic environment? Evidence from four emerging techno-scientific domains
inferred← citeshttps://doi.org/10.1111/j.1752-1688.1995.tb03369.xopenalex-snapshot
REGIONAL SCALE TREND MONITORING OF INDICATORS OF TROPHIC CONDITION OF LAKES1
inferred← citeshttps://doi.org/10.1111/j.1752-1688.2004.tb01581.xopenalex-snapshot
TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1
inferred← citeshttps://doi.org/10.1111/rssc.12451openalex-snapshot
Quantifying the Trendiness of Trends
inferred← citeshttps://doi.org/10.1175/jtech-d-24-0008.1openalex-snapshot
Trends in Satellite-Based Ocean Parameters through Integrated Time Series Decomposition and Spectral Analysis. Part II: NOAA/NCEI Blended Seawinds
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An Evaluation of How Students Use Blackboard and the Possible Link to Their Grades
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Introduction to Time Series Modeling
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Analisis Scientometrics Penelitian Merkuri pada Penambangan Emas Skala Kecil di Indonesia Tahun 2009-2019
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Uso de modelos aditivos para evaluar la variabilidad espacial y temporal en datos 3D
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Aquatic Invertebrate Community Trends and Water Quality at Homestead National Monument of America, Nebraska, 1996–2012
inferred← citeshttps://doi.org/10.1890/1051-0761(1998)008[0246:mfprro]2.0.co;2openalex-snapshot
MONITORING FOR POLICY-RELEVANT REGIONALTRENDS OVER TIME
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Spatial Assessment of Water River Pollution Using the Stochastic Block Model: Application in Different Station in the Litani River, Lebanon
inferred← citeshttps://doi.org/10.2139/ssrn.7151211openalex-snapshot
Multi-Temporal and Spatial Autocorrelation-Based Assessment of Mining-Induced Ecological Degradation Using a Restoration Priority Index
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Auto-sales: A machine learning and data mining driven business analytics system
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Climate Change, Factor Inputs and Cotton Yield Growth: Evidence from the Main Cotton Producing Areas in China
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The Method Establishment and Considerations of Ion Chromatography for Determination
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Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning
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Detecting and Estimating Trends of Water Quality Parameters
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