Truly Santika
Ecology · 2009–2019
A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 53 citations into it; #871 of 10,717 by trust here, #5,577 by citations
- Nature and Landscape Conservation — 49 citations into it; #741 of 6,941 by trust here, #3,963 by citations
- Ecological Modeling — 47 citations into it; #279 of 2,530 by trust here, #1,492 by citations
- Global and Planetary Change — 28 citations into it
- Statistics and Probability — 15 citations into it
- Ecology, Evolution, Behavior and Systematics — 11 citations into it
- Economics and Econometrics — 9 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Truly Santika trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael P. Austin
- J. McPherson
- Eric R. Ziegel
- I. Kühn
- J. Lennon
- Hirotugu Akaike
- Julian Besag
- Trevor C. Bailey
- Niko Speybroeck
- Antoine Guisan
Who trusts Truly Santika overall
- Rune Halvorsen
- Tomás Václavík
- Geiziane Tessarolo
- Babak Naimi
- Ross K. Meentemeyer
- A. Jiménez‐Valverde
- Hao Yu
- Jorge M. Lobo
- Adam B. Smith
- Thiago Fernando Rangel
Papers from Truly Santika's perspective
Ordered by how strongly the researchers Truly Santika trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- Generalized Linear Models
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (Biodiversity and Conservation)
- Evaluating the predictive performance of habitat models developed using logistic regression
- Evaluating presence-absence models in ecology: the need to account for prevalence
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
- The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
Their papers
- Evaluating the effectiveness of palm oil certification in delivering multiple sustainability objectives (2018) — 139 citations
- Does oil palm agriculture help alleviate poverty? A multidimensional counterfactual assessment of oil palm development in Indonesia (2019) — 191 citations
- Assessing the effect of prevalence on the predictive performance of species distribution models using simulated data (2011) — 87 citations
- The effect of species response form on species distribution model prediction and inference (2009) — 59 citations