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Programa de Evaluación y Monitoreo de la biodiversidad

Diseña, implementa y da realimentación sobre metodologías para la evaluación y monitoreo de la biodiversidad, a través de la recolección, integración, análisis, interpretación y divulgación de datos propios o producto de la articulación con otros actores, para sintetizar y posicionar conocimiento sobre el estado y tendencias de la biodiversidad y los servicios ecosistémicos en Colombia, de manera incidente y oportuna. Así mismo, almacena, estructura y analiza, por medio de un enfoque transdisciplinario que incluye aproximaciones estadísticas, matemáticas y socioeconómicas, los datos e información obtenidos por Colecciones Biológicas y los programas de Ciencias Básicas y Ciencias Sociales.

Dirección de Conocimiento's Projects

.github icon .github

Special repo that also holds some guides

biomodelos-sdm icon biomodelos-sdm

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.

chorus_ebvs icon chorus_ebvs

Workflow to obtain, harmonize, and integrate species call activity and environmental data into an EBV-ready dataset.

colsplist icon colsplist

Python API for Colombian species list (exotic, threatened, endemic etc)

datosnairarn18 icon datosnairarn18

Procesamiento y análisis de datos de cámaras trampa de Riqueza Natural (RN) en el 2018

ebv-cbm-indicators icon ebv-cbm-indicators

Cálculo de indicadores del monitoreo comunitario de variables esenciales de biodiversidad

ebv_occurrence_area icon ebv_occurrence_area

Scripts needed to generate occupancy models from different types of biological and spatial data

ecoacoustics_eda icon ecoacoustics_eda

Exploratory data analysis tools to process large amounts of data coming from acoustic sensors

format_ml_dataset icon format_ml_dataset

Format annotations and audio files into a dataset to train machine learning models

geoserver-rest icon geoserver-rest

Python library for management for geospatial data in GeoServer. The geoserver-rest docs is available here,

gsi_analysis icon gsi_analysis

Scripts and modules to identify the areas with missing information and therefore the sites in which additional sampling will improve knowledge on biodiversity

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