Name: Dirección de Conocimiento
Type: Organization
Bio: Dirección de Conocimiento (Gerencia de Información Científica y Estudios Socioecológicos y Cambio Global)
Location: Bogotá, Colombia
Blog: http://humboldt.org.co
Dirección de Conocimiento's Projects
Special repo that also holds some guides
This project has been discontinued.
BON in a Box 2.0 - Mapping indicators
Dashboard for EDA and check consistency in annotations of Bioacoustics data
mongoDB to be accessed using webServices.
Just for project management
BioModelos is a collaborative online system to map species distributions. This repository stores functions to automate the construction of Species Distribution Models (SDM) from databases gathered, managed and curated by The Alexander Von Humboldt Institute and a network of experts in order to be evaluated and refined.
BioModelos web application v 2
Backend repository for Biotablero: http://biotablero.humboldt.org.co/
Specific implementation of BON in a Box 2.0 for BioTablero
Módulos de la interfaz gráfica del proyecto Biotablero
Just for project management
Backend for the search module of BioTablero
Flujos de procesamiento de grabaciones pasivas para extraer metadatos, caracterizar el paisaje sonoro y la comunidad acústica de forma cuantitativa.
Workflow to obtain, harmonize, and integrate species call activity and environmental data into an EBV-ready dataset.
A workflow to clean species distribution models by elevation and potential habitats according to IUCN categories
Python API for Colombian species list (exotic, threatened, endemic etc)
Dashboard to visualize progress on community based monitoring projects. Demo page.
GeoNetwork repository
Extracción de Covariables asociadas a la calidad de Ecosistemas.
Procesamiento y análisis de datos de cámaras trampa de Riqueza Natural (RN) en el 2018
Cálculo de indicadores del monitoreo comunitario de variables esenciales de biodiversidad
Scripts needed to generate occupancy models from different types of biological and spatial data
Exploratory data analysis tools to process large amounts of data coming from acoustic sensors
Format annotations and audio files into a dataset to train machine learning models
Python library for management for geospatial data in GeoServer. The geoserver-rest docs is available here,
Reproduce graphical soundscape analysis for a sampling site.
Scripts and modules to identify the areas with missing information and therefore the sites in which additional sampling will improve knowledge on biodiversity