- Home
- Publications
- Publication Search
- Publication Details
Title
Habitat Suitability Estimation Using a Two-Stage Ensemble Approach
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 9, Pages 1475
Publisher
MDPI AG
Online
2020-05-07
DOI
10.3390/rs12091475
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling
- (2020) Sungwoo Park et al. Energies
- Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods
- (2020) Jihoon Moon et al. Energies
- Combination of short-term load forecasting models based on a stacking ensemble approach
- (2020) Jihoon Moon et al. ENERGY AND BUILDINGS
- Recurrent inception convolution neural network for multi short-term load forecasting
- (2019) Junhong Kim et al. ENERGY AND BUILDINGS
- A comparative analysis of artificial neural network architectures for building energy consumption forecasting
- (2019) Jihoon Moon et al. International Journal of Distributed Sensor Networks
- Animal Movement Prediction Based on Predictive Recurrent Neural Network
- (2019) Jehyeok Rew et al. SENSORS
- Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron
- (2018) Jihoon Moon et al. Energies
- Applying species distribution modelling to a data poor, pelagic fish complex: the ocean sunfishes
- (2017) Natasha D. Phillips et al. JOURNAL OF BIOGEOGRAPHY
- Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia
- (2016) J. Duque-Lazo et al. ECOLOGICAL MODELLING
- Planning the priority protected areas of endangered orchid species in northeastern China
- (2014) Jizhong Wan et al. BIODIVERSITY AND CONSERVATION
- A 40-year, continent-wide, multispecies assessment of relevant climate predictors for species distribution modelling
- (2014) Morgane Barbet-Massin et al. DIVERSITY AND DISTRIBUTIONS
- Ensemble forecast of climate suitability for the Trans-Himalayan Nyctaginaceae species
- (2014) Sailesh Ranjitkar et al. ECOLOGICAL MODELLING
- Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions
- (2013) Brenna R. Forester et al. DIVERSITY AND DISTRIBUTIONS
- Species distribution models in conservation biogeography: developments and challenges
- (2013) Janet Franklin DIVERSITY AND DISTRIBUTIONS
- Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models
- (2013) Shinji Fukuda et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Species Distribution Modeling for Conservation Purposes
- (2013) Katia Maria P. M. de Barros Ferraz et al. Natureza & Conservacao
- Improving species distribution models using biotic interactions: a case study of parasites, pollinators and plants
- (2012) Tereza Cristina Giannini et al. ECOGRAPHY
- Uses and misuses of bioclimatic envelope modeling
- (2012) Miguel B. Araújo et al. ECOLOGY
- Species distribution modelling of marine benthos: a North Sea case study
- (2011) H Reiss et al. MARINE ECOLOGY PROGRESS SERIES
- BIOMOD - a platform for ensemble forecasting of species distributions
- (2009) Wilfried Thuiller et al. ECOGRAPHY
- Uncertainty in ensemble forecasting of species distribution
- (2009) LAËTITIA BUISSON et al. GLOBAL CHANGE BIOLOGY
- A protocol for data exploration to avoid common statistical problems
- (2009) Alain F. Zuur et al. Methods in Ecology and Evolution
- Applying species distribution modelling for the conservation of the threatened saproxylic Stag Beetle (Lucanus cervus)
- (2008) Arno Thomaes et al. BIOLOGICAL CONSERVATION
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started