24 research outputs found

    robitalec/prepare-locs: v0.1.3

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    <ul> <li>fix some Fogo caribou relocations missing id due to outside of deployment (#2, #3)<ul> <li>dropping 6030 for NL relocations</li> <li>fix README render exports</li> </ul> </li> </ul&gt

    wildlifeevoeco/WildPigSpatiotemporalCompetition: Draft

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    :notebook: Variation in temporal activity may reduce competetive interaction between native and introduced specie

    zule-lab/RuellesVertes: Initial Submission

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    Dade et al (in prep.) Testing a rapid assessment approach for measuring ecosystem services in urban green alley

    samapriya/awesome-gee-community-datasets: Community Catalog

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    <p>The awesome-gee-community-catalog consists of community-sourced geospatial datasets made available for use by the larger Google Earth Engine community and shared publicly as Earth Engine assets. The project was started with the idea that a lot of research datasets are often unavailable for direct use and require preprocessing before use. This catalog lives and serves alongside the <a href="https://developers.google.com/earth-engine/datasets/catalog">Google Earth Engine data catalog</a> and also houses datasets often requested by the community under a variety of open licenses.</p> <p>Go to the catalog to explore more: https://gee-community-catalog.org</p> <p>You can read about the history and how this project started in the <a href="https://medium.com/geospatial-processing-at-scale/community-datasets-data-commons-in-google-earth-engine-8585d8baef1f">Medium Post article here</a></p> <p><strong>Release frequency will be monthly for now</strong></p> <p><img width="485" alt="catalog-banner" src="https://user-images.githubusercontent.com/6677629/193901877-586dde2b-6cdc-4709-b970-3dbe1b4e9a44.PNG"></p> <h4>Updated 2024-04-02</h4> <ul> <li>Released 2.5.0 for awesome gee community catalog & stats</li> <li>Added <a href="https://gee-community-catalog.org/projects/nbac/">Canada National Burned Area Composite (NBAC)</a></li> <li>Added <a href="https://gee-community-catalog.org/projects/avhrr-ltdr/">ESA Fire Disturbance Climate Change Initiative (CCI)</a></li> <li>Added <a href="https://gee-community-catalog.org/projects/pk_nssed/">National-Scale Soil Erosion Dataset for Pakistan (2005 and 2015)</a></li> <li>Updated <a href="https://gee-community-catalog.org/projects/speedtest">Global fixed broadband and mobile (cellular) network performance</a></li> <li>Updated Weekly updates to <a href="https://gee-community-catalog.org/projects/usdm/">USDM drought monitor</a></li> </ul> <h4>Updated 2024-03-07</h4> <ul> <li>Released 2.4.0 for awesome gee community catalog & stats</li> <li>Added <a href="https://gee-community-catalog.org/projects/globgm/">GLOBGM v1.0 global-scale groundwater model</a></li> <li>Added <a href="https://gee-community-catalog.org/projects/india_river_trends/">Temporal trends of Surface water across Indian Rivers & Basins</a></li> <li>Updated Weekly updates to <a href="https://gee-community-catalog.org/projects/usdm/">USDM drought monitor</a></li> </ul&gt

    ropensci/MODIStsp: Version 2.0.5

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    MODIStsp 2.0.5 Main changes Edit documentation related to the change of maintainer (see https://docs.ropensci.org/MODIStsp/articles/lorenzo). Add the argument parallel to function MODIStsp() and MODSIStsp_process() to allow running the processing in single core modality. Minor changes Fix Travis tests Bug fix (#222) Previous versions Versions 2.0.0 to 2.0.4 were not referenced on GitHub; here below the news of those versions (the source code can be found on CRAN). MODIStsp 2.0.3 - Main changes This submission should fix errors on Debian CRAN builds, due to improper trigger of an internal function leading to writing in the user's lib folder. Fixes a bug leading to crash when using scale_val = TRUE and change_no_data = FALSE Fixes a bug leading to the GUI crashing rather than giving info messages in case not all input parameters are specified Implements redirection to MODIS products web pages when pressing the corresponding button Modifies slightly the Shiny GUI MODIStsp 2.0.0 - Main changes Replace the old gWidgets-based GUI with a new one based on Shiny; Enhances support for CLI usage. Now all parameters can be passed to the MODIStsp function. If also a opts_file is passed, values specified explicitly in the call override those in the options file; Fixes problems in retrieval of corners for MODIS products in 4008 projection (fixes #204); Fixes problems/improves support for datasets with multiple NoData values. Now, all NoData values are kept to original values if NoData change is set to FALSE. Also, Scale/Offset are no longer wrongly applied also to NoData values when scaleval = TRUE

    final-dt-site-fidelity-dryad

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    Data used for linear mixed model and figure for site fidelity in caribou

    The problem and promise of scale in multilayer animal social networks

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    Abstract Scale remains a foundational concept in ecology. Spatial scale, for instance, has become a central consideration in the way we understand landscape ecology and animal space use. Meanwhile, scale-dependent social processes can range from fine-scale interactions to co-occurrence and overlapping home ranges. Furthermore, sociality can vary within and across seasons. Multilayer networks promise the explicit integration of the social, spatial, and temporal contexts. Given the complex interplay of sociality and animal space use in heterogeneous landscapes, there remains an important gap in our understanding of the influence of scale on animal social networks. Using an empirical case study, we discuss ways of considering social, spatial, and temporal scale in the context of multilayer caribou social networks. Effective integration of social and spatial processes, including biologically meaningful scales, within the context of animal social networks is an emerging area of research. We incorporate perspectives that link the social environment to spatial processes across scales in a multilayer context.</jats:p

    Space-use and social association in caribou data file

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    Data used to generate linear mixed models and figures for social association networks, home range overlap networks, and home range area
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