Cecily Goodwin
Biographic Data
| ID | 7992677 |
|---|---|
| NAME | Cecily Goodwin |
| GIVEN NAMES | Cecily |
| FAMILY NAME | Goodwin |
| SIGNATURE | GOODWIN C |
| AFFILIATIONS | UK Centre for Ecology & Hydrology |
| ORCID | 0000-0003-0093-9838 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Multi-tier archetypes to characterise British landscapes, farmland and farming practices
Due to rising demand for both food and environmental services, agriculture is increasingly required to deliver multiple outcomes. Characterising differences, across agricultural landscapes, via the identification of broad archetypal groupings, is an important step in exploring spatial patterns in the capacity of land to deliver these potentially competing functions. Creating characterisations at multiple levels, for landscape and farm management,…
A brief introduction to mixed effects modelling and multi-model inference in ecology
The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models is not always straightforward. The ability to achieve robust biological inference requires that practitioners know how and when to apply these …
No prominent works on this page.
A brief introduction to mixed effects modelling and multi-model inference in ecology
The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models is not always straightforward. The ability to achieve robust biological inference requires that practitioners know how and when to apply these …
Multi-tier archetypes to characterise British landscapes, farmland and farming practices
Due to rising demand for both food and environmental services, agriculture is increasingly required to deliver multiple outcomes. Characterising differences, across agricultural landscapes, via the identification of broad archetypal groupings, is an important step in exploring spatial patterns in the capacity of land to deliver these potentially competing functions. Creating characterisations at multiple levels, for landscape and farm management,…
Agriculture (1 works) · Archetype (1 works) · Artificial Intelligence (1 works) · Bioinformatics (1 works) · Biological data (1 works) · Business (1 works) · Computer Science (1 works) · Conservation, Biodiversity, and Resource Management (1 works) · Data mining (1 works) · Data science (1 works)