By David Western

Using exploratory data analysis to visualize and test hypothesis is fast becoming a method of choice for many researchers working across disciplines. Data visualization allows team members to work together in building ideas about how ecological systems work. Victor Mose outlined the benefits of this approach at the third annual International Biometric Society (IBS)–Kenya chapter held at the Strathmore University in Nairobi.

He used the long-term Amboseli data to show how spatial exploratory data analysis can reduce complex ecological hypothesis to simple visual presentations with cross-cutting research applications. The approach requires no prior knowledge about the data and can be rapidly applied to formulate and test hypothesis in visual  form with wide applications.

The vice chancellor of Strathmore University, Nairobi, Prof John Odhiambo (4th from right-front row) and other International Biometric Society (IBS)-Kenya Chapter members attending the meeting.

By Victor N. Mose

ACP, ACC, and NAU launched a NASA-funded One Health survey using GEDI and local monitoring for ecosystem health.

By David Western, Victor N. Mose, David Maitumo, Immaculate Ombongi, Sakimba Kimiti, Winfridah Kemunto, Samuel Lekanaiya, Paul Kasaine and Sunte Kimiti

The heavy prolonged El Niño rains boosted pastures across the Amboseli ecosystem

By David Western, Immaculate Ombongi and Victor N. Mose

Our study traces the transition from traditional livestock practices based on seasonal migrations to permanent

The power of visualizing spatial and temporal data in developing and testing ecological hypothesis

Authored by : David Western
Posted on April 1, 2019

Using exploratory data analysis to visualize and test hypothesis is fast becoming a method of choice for many researchers working across disciplines. Data visualization allows team members to work together in building ideas about how ecological systems work. Victor Mose outlined the benefits of this approach at the third annual International Biometric Society (IBS)–Kenya chapter held at the Strathmore University in Nairobi.

He used the long-term Amboseli data to show how spatial exploratory data analysis can reduce complex ecological hypothesis to simple visual presentations with cross-cutting research applications. The approach requires no prior knowledge about the data and can be rapidly applied to formulate and test hypothesis in visual  form with wide applications.

The vice chancellor of Strathmore University, Nairobi, Prof John Odhiambo (4th from right-front row) and other International Biometric Society (IBS)-Kenya Chapter members attending the meeting.

By David Western

Using exploratory data analysis to visualize and test hypothesis is fast becoming a method of choice for many researchers working across disciplines. Data visualization allows team members to work together in building ideas about how ecological systems work. Victor Mose outlined the benefits of this approach at the third annual International Biometric Society (IBS)–Kenya chapter held at the Strathmore University in Nairobi.

He used the long-term Amboseli data to show how spatial exploratory data analysis can reduce complex ecological hypothesis to simple visual presentations with cross-cutting research applications. The approach requires no prior knowledge about the data and can be rapidly applied to formulate and test hypothesis in visual  form with wide applications.

The vice chancellor of Strathmore University, Nairobi, Prof John Odhiambo (4th from right-front row) and other International Biometric Society (IBS)-Kenya Chapter members attending the meeting.

By Victor N. Mose

ACP, ACC, and NAU launched a NASA-funded One Health survey using GEDI and local monitoring for ecosystem health.

By David Western, Victor N. Mose, David Maitumo, Immaculate Ombongi, Sakimba Kimiti, Winfridah Kemunto, Samuel Lekanaiya, Paul Kasaine and Sunte Kimiti

The heavy prolonged El Niño rains boosted pastures across the Amboseli ecosystem

By David Western, Immaculate Ombongi and Victor N. Mose

Our study traces the transition from traditional livestock practices based on seasonal migrations to permanent

Posted on April 1, 2019

By David Western

Using exploratory data analysis to visualize and test hypothesis is fast becoming a method of choice for many researchers working across disciplines. Data visualization allows team members to work together in building ideas about how ecological systems work. Victor Mose outlined the benefits of this approach at the third annual International Biometric Society (IBS)–Kenya chapter held at the Strathmore University in Nairobi.

He used the long-term Amboseli data to show how spatial exploratory data analysis can reduce complex ecological hypothesis to simple visual presentations with cross-cutting research applications. The approach requires no prior knowledge about the data and can be rapidly applied to formulate and test hypothesis in visual  form with wide applications.

The vice chancellor of Strathmore University, Nairobi, Prof John Odhiambo (4th from right-front row) and other International Biometric Society (IBS)-Kenya Chapter members attending the meeting.

Recent Posts

By David Western, Victor N. Mose, David Maitumo, Immaculate Ombongi, Sakimba Kimiti, Winfridah Kemunto, Samuel Lekanaiya, Paul Kasaine and Sunte Kimiti

The outlook for livestock and wildlife in the short dry season normally stretching from January to the long rains

By Victor N. Mose

ACP, ACC, and NAU launched a NASA-funded One Health survey using GEDI and local monitoring for ecosystem health.

By David Western, Victor N. Mose, David Maitumo, Immaculate Ombongi, Sakimba Kimiti, Winfridah Kemunto, Samuel Lekanaiya, Paul Kasaine and Sunte Kimiti

The heavy prolonged El Niño rains boosted pastures across the Amboseli ecosystem

By David Western, Immaculate Ombongi and Victor N. Mose

Our study traces the transition from traditional livestock practices based on seasonal migrations to permanent

By Victor N. Mose, PhD, ACC/ACP, Nairobi, Kenya.

The MOSAIC field mission to the Amazon region, following a previous mission to East Africa

By Victor N. Mose, PhD, ACC/ACP, Nairobi, Kenya.

In a recent community meeting held at the Amboseli Ecosystem Trust offices in southern Kenya.

By Victor N. Mose and David Western

The Amboseli Conservation Program (ACP) has conducted regular aerial sample counts of Amboseli and eastern Kajiado

By Victor N. Mose, David Western and the ACP Team

The Amboseli Conservation Program (ACP) continued to monitor the conditions of the rangelands, livestock and wild

By Victor N. Mose

A notable discussion at the forum focused on disparities in data availability between the Global North and South.

By Victor N. Mose, David Western and the ACP Team

The effects of the good short rains have been felt in the Amboseli area.

Contact Us

Amboseli Conservation Program
P.O Box 15289-00509 or 62844-00200
Nairobi, Kenya.

Tel/Fax: +254 20 891360 / 891751
Email: acc@acc.or.ke