Data and Tools

Temporal Sequence

This page shows how to derive and evaluate evidence of a temporal sequence.

Step 2. List Candidate Causes

This page includes an overview, including more details and expected output of Step 2, listing candidate causes of a causal impairment.

Step 4. Evaluate Data from Elsewhere

This page includes an overview, details and expected output from Step 4: Evaluate Data from Elsewhere.

Step 3. Evaluate Data from the Case

This page contains an overview of the details and expected output of Step 3, to evaluate data from the case at hand.

Urbanization - Temperature

This page covers how water temperature changes associated with urbanization, including heated surface runoff can affect stream biota and climate change.

pH

This page introduces to the pH module, when to list pH as a candidate cause, ways to measure pH, simple and detailed conceptual model diagrams for pH, pH module references and literature reviews.

Metals - Point Source Releases

This page contains a table of point sources for metals releases to air, water and land pulled from the Toxic's Release Inventory (2002).

This page includes hydrologic changes, baseflow changes, water withdrawals and interbasin transfers associated with urbanization, and biotic responses to hydrologic (or flow) changes associated with urbanization

Basic Analyses

Overview of quantile regression analysis includes insight on simplifying assumptions.

R Script: Parametric Regression

How to Fit Parametric Regression Models to Observations.

Using R to Estimate Taxon-Environment Relationships

This page describes steps for estimating species-environment relationships using on-line library.

Estimating Taxon-Environment Relationships: Measurement Error

This page describes effects of measurement error on regression models for species-environment relationship.

Estimating Taxon-Environment Relationships: Survey Weighting

This page describes the use of probability weighted data for estimating species-environment relationships.

Computing Inferences: Categorical Tolerance Data

This page describes the use of categorical tolerance data for assessing site conditions.

Computing Inferences: Maximum Likelihood Inferences

This page describes the maximum likelihood approach for inferring environmental conditions.

Basic Analyses

Overview of using classification and regression trees (CART) includes assumptions in CART analysis, and insight on pruning regression trees, .

Using R for Significance Tests

Script for conducting significance tests for models using R.

Using R for Non-Parametric Regression

Script for computing nonparametric regression analysis. Overview of using scripts to infer environmental conditions from biological observations, statistically estimating species-environment relationships, statistical scripts.

Using R for Parametric Regression

Script for computing single variable parametric regressions for presence/absence of different taxa.

Estimating Taxon-Environment Relationships: Environmental Limits

This page describes cumulative distribution approach to estimating optima in terms of environmental limits.