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Ecological Informatics, Volume 49
Volume 49, January 2019
- Gabriel Jácome, Paulina Vilela, ChangKyoo Yoo:
Social-ecological modelling of the spatial distribution of dengue fever and its temporal dynamics in Guayaquil, Ecuador for climate change adaption. 1-12 - Felix Ballani, Arne Pommerening, Dietrich Stoyan:
Mark-mark scatterplots improve pattern analysis in spatial plant ecology. 13-21 - Alex R. Hardisty, William K. Michener, Donat Agosti, Enrique Alonso García, Lucy Bastin, Lee Belbin, Anne Bowser, Pier Luigi Buttigieg, Dora Ann Lange Canhos, Willi Egloff, Renato De Giovanni, Rui Figueira, Quentin Groom, Robert P. Guralnick, Donald Hobern, Wim Hugo, Dimitris Koureas, Liqiang Ji, W. Daniel Kissling:
The Bari Manifesto: An interoperability framework for essential biodiversity variables. 22-31 - Claire Kermorvant, Nathalie Caill-Milly, Noëlle Bru, Frank D'Amico:
Optimizing cost-efficiency of long term monitoring programs by using spatially balanced sampling designs: The case of manila clams in Arcachon bay. 32-39 - Kakkara Athira, N. P. Sooraj, Raghunathan Nair Jaishanker, V. Saroj Kumar, C. R. Sajeev, M. S. Pillai, Ajit Govind, N. Ramarao, V. K. Dadhwal:
Chromatic exclusivity hypothesis and the physical basis of floral color. 40-44 - Adrià López-Baucells, Laura Torrent, Ricardo Rocha, Paulo E. D. Bobrowiec, Jorge M. Palmeirim, Christoph F. J. Meyer:
Stronger together: Combining automated classifiers with manual post-validation optimizes the workload vs reliability trade-off of species identification in bat acoustic surveys. 45-53 - Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio:
Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. 54-61 - Cástor Guisande, Andrés J. Rueda-Quecho, Fabián A. Rangel-Silva, Jürgen Heine, Emilio García Roselló, Jacinto González Dacosta, Patricia Pelayo-Villamil:
VIDTAXA: An algorithm for the identification of statistically different groups based on variability obtained in factorial analyses. 62-68 - Guiming Wang:
Machine learning for inferring animal behavior from location and movement data. 69-76
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