GIS processing | Adding catchment data | Getting and plotting catchment information | Filling sinks | Determining Ordering | Adding additional layers | Producing a catchment classification | Making the model | Running the model | Preparing input data | Altering parameters | Creating the dynatop Object | Defining outputs | Initialising the states | Simulation | Mass balance

Context | Using CAPA for anomalies | Using PELT for change points | CROPS for varaible penalties

No Anomaly (Baseline) | Anomaly

No Anomaly (Baseline) | Collective Anomalies | Anomaly in Mean and Variance | Anomaly in Mean | Anomaly in Variance | Point anomaly | [C_{P_{M}}\left(y_{t}\left| m_{t},s_{t},\hat{\mu}{k}\right.\right) -C{B}\left(y_{t}\left| m_{t},s_{t}\right.\right) | [C_{P_{V}}\left(y_{t}\left| m_{t},s_{t},\hat{\sigma}{k}\right.\right) -C{B}\left(y_{t}\left| m_{t},s_{t}\right.\right) | Relating this to the background cost we see that point anomalies may be accepted in the capa search when[f\left(z_{t},\gamma,\beta\right) =C_{P_{V}}\left(y_{t}\left| m_{t},s_{t},\hat{\sigma}{k},\gamma\right.\right) -C{B}\left(y_{t}\left| m_{t},s_{t}\right.\right)

No Anomaly (Baseline) | Anomaly in Rate

Implementation notes | Getting started | Adding catchment data | Getting and plotting catchment information | Filling sinks | Determining Ordering | Computing properties | Adding additional layer | Classifying into Hydrological Response Units | Generating a dynamic TOPMODEL

Usage | Implementation notes

Quantile regression | Baseline: No Anomaly | Collective anomaly | Point Anomaly

Linear regression | Sufficent statistics | Baseline: No Anomaly | Collective Anomalies | Anomaly in Regression parameters | Anomaly in Variance | Anomaly in regression parameters and variance | Since[\sum_{t \in T_{k}} \left( \hat{\mathbf{y}}{t} - \mathbf{X}{t} \theta_{k}\right)^{\prime} \mathbf{S}{t}^{-1} \left( \hat{\mathbf{y}}{t} - \mathbf{X}{t} \theta{k}\right) | Point anomaly

Univariate Gaussian | Anomaly in mean and varinace | Anomaly in Mean | Anomaly in Variance | No Anomaly (Baseline) | Point anomaly

Framework | CROPS | Point anomalies

Generating synthetic data | Estimation | Results