Geospatial Data

Community of Practice

 

Welcome!

The Community of Practice on Geospatial data is led by IFPRI and has been launched as a part of the CGIAR Platform for Big Data in Agriculture.

This community facilitates CGIAR’s research using geospatial data and analysis, undertaking activities to bring spatial scientists together through coordinated communication, community-developed products, and the convening of members at various events to represent CGIAR in the geospatial domain of expertise.

This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.

Community Partners
We work closely with our external partners in academia, donors, and public/private sectors – including ITC, Esri, Digital Globe, and Geospatial and Farming Systems Research Consortium.

Community Members
Members of CGIAR-CSI include all geospatial scientists across CGIAR. Community-wide activities are coordinately by the Global Coordinator. Center-level activities are coordinated by the Center Representative. Currently (as of October 2017), CGIAR-CSI reaches to 90 members across all 15 CGIAR Centers.

If you use geospatial data and analyses in CGIAR, join our community! For external party interest, please sign up for updates or email us direct.

Get in touch

CoP Lead

Jawoo Koo | Email
The CSI-CoP formed in 2017 and is led by Agricultural Engineer and Senior Research Fellow Jawoo Koo at the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S.

Administration

Michelle Fotsy | Email
At the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S

Ivy Romero | Email
At the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S

Twitter | Facebook Email 

Engage with the Community

i

BE INFORMED

Tune in to the latest CoP updates by subscribing to our newsletter.

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ENGAGE

Interact with community members through our LinkedIn Group.

CONTRIBUTE

Share your expertise in our working groups.

Thank you for your interest in joining the GeoSpatial Community of Practice

Members of CGIAR-CSI include all geospatial scientists across CGIAR. Community-wide activities are coordinately by the Global Coordinator. Center-level activities are coordinated by the Center Representative. Currently, CGIAR-CSI reaches to 90 members across all 15 CGIAR Centers. The following spaces are available for direct collaboration and communication on community projects.

SharePoint:
CGIAR MEMBERS ONLY: Hosted and managed by IFPRI, authenticated access leads to a discussion forum, CoP resources, events, tasks, contact information and working groups. It’s a private and secure location where CGIAR CoP members can share working documents, optimize workflows, and brainstorm. Join here.

Community News

Articles in this section were originally posted on the CGIAR Consortium for Spatial Information (CGIAR-CSI) website.

Geospatial Analyses at CGIAR Centers/Alliances

Geospatial Analyses at CGIAR Centers/Alliances

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Have you ever wondered what kinds of geospatial analysis being done in CGIAR? You’ve come to the right place! CGIAR-CSI ...
Announcing the CG Labs Datathon: Analyze Climate Change Data using R/Python (and Win Prizes!)

Announcing the CG Labs Datathon: Analyze Climate Change Data using R/Python (and Win Prizes!)

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CGIAR Platform for Big Data in Agriculture has developed a new collaborative data science platform, CG Labs, as an offering ...
Mapping Crop Types using Sentinel-2 Satellite Data

Mapping Crop Types using Sentinel-2 Satellite Data

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Mapping of crop types at the field-level provides important information for monitoring food production dynamics, predicting market prices, and making ...
Mapping Global Cropland Connectivity for Managing Crop Pest and Disease Risks

Mapping Global Cropland Connectivity for Managing Crop Pest and Disease Risks

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A new study by researchers at several CGIAR Centers applies geospatial network analysis on global cropland and crop mapping datasets, ...
Spatially-Disaggregated Crop Production Statistics Data in Sub-Saharan Africa for 2017

Spatially-Disaggregated Crop Production Statistics Data in Sub-Saharan Africa for 2017

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Supported by CGIAR Platform for Big Data in Agriculture, IFPRI’s MapSPAM team published a new version of Spatially-Disaggregated Crop Production ...
CHIR Explorer: An Online Tool for Assessing Dry and Wet Conditions

CHIR Explorer: An Online Tool for Assessing Dry and Wet Conditions

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CHIR Explorer is a web-based tool for visualizing high-resolution time-series precipitation data. Read about its sources and uses ...
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Resources

2017 Work Plan – Detailed description of expected outcomes and deliverables for 2017

2018 Work Plan – Detailed description of expected outcomes and deliverables for 2018

2019 Work Plan – Detailed description of expected outcomes and deliverables for 2019

2020 Work Plan – Detailed description of expected outcomes and deliverables for 2020

Events

[WEBINAR] FAIR Guidelines and Assessment in GARDIAN

June 25, 2019 – June 25, 2019 | Online

[WEBINAR] Semantic Annotation of Images in the FAIR Data Era

September 3, 2019 – September 3, 2019 | Online

Interested in joining our community of practice?

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