Esri Joins World Ocean Council

World Ocean Council Chief Scientist Dawn Wright Brings Spatial Insight to Ocean Business Community

Esri has joined the ocean business alliance World Ocean Council (WOC) and will support its international initiatives for sustainable development and conservation of the ocean. Esri chief scientist Dawn Wright will share her geospatial expertise with WOC’s Coastal and Marine Spatial Planning (CMSP) and Ocean Science working groups. Esri is the world leader in GIS.

“Geospatially referenced information is critical to addressing environmental challenges in the fluid, dynamic, interconnected marine world,” said Paul Holthus, executive director, WOC. “Esri provides tools, technology, and innovation that support the responsible use and management of ocean space and resources.”

WOC members are oil and gas, seafloor mining, shipping, fisheries, aquaculture, tourism, and offshore renewables companies. Esri is leading the way for information technology participation in WOC.

“Esri president Jack Dangermond and I are very excited that Esri is now a member of the World Ocean Council,” said Wright. “It is the best means we have seen to date for the global ocean business community members to work together and achieve synergies and economies of scale in tackling shared challenges.”

WOC develops and implements programs that improve the science, data, and maps needed to address the challenges of sustainable ocean use. For example, WOC helps ocean organizations understand and participate in geospatial activities that support robust ocean use maps. In addition, WOC has launched the Smart Ocean/Smart Industries program, which will increase the number and types of industry vessels and oceans platforms that collect georeferenced ocean, climate, and weather data.

“Esri’s alliance with the World Ocean Council and participation in its working groups will help us advance our Ocean GIS initiative,” said Wright. “The success of the council’s programs and objectives requires spatial thinking, data, and methods. GIS will play a key role in meeting sustainability objectives and developing international ocean policy.”

Esri has invited WOC to participate at the Esri International User Conference in San Diego, California, July 23–27. Holthus will introduce Esri clients and partners to this unique ocean leadership alliance in presentations at the conference’s Oceans Special Interest Group meeting and at the Environmental Showcase demo theater.

[Source: Esri press release]

Diagnosis of Groundwater Quality and Assessment of Contamination Sources in the Megara Basin (Attica, Greece)

Arabian Journal of GeosciencesArabian Journal of Geosciences, Published Online 27 February 2012

D. Gamvroula, D. Alexakis and G. Stamatis

“In this study, hydrochemical analysis, statistical analysis and GIS database have been successfully used to explain the main factors and mechanisms controlling the distribution of major and trace elements in groundwater. The groundwater of Megara basin is subject to intense exploitation to accommodate all the water demands of this agricultural area. Water quality data obtained from 58 sampling sites of the Megara basin, aims to describe groundwater quality in relation to geology and anthropogenic activities. Factor analysis revealed that four factors accounted for 79.96% of the total data variability. The contribution of each factor at sampling sites was calculated. Evaluation of water samples by comparing quality standards and levels recorded in the literature for both drinking and irrigation uses is discussed. ”

Spatial-temporal Analysis of Malaria and the Effect of Environmental Factors on its Incidence in Yongcheng, China, 2006-2010

BMC Public HealthBMC Public Health 2012, 12:544

Yan Zhang, Qiyong Liu, Rongsheng Luan, Xiaobo Liu, Guangchao Zhou, Jingyi Jiang, Hongsheng Li and Zhifang Li

“Background: In 2003, Plasmodium vivax malaria has re-emerged in central eastern China including Yongcheng prefecture, Henan Province, where no cases have been reported for eleven years. Our goal was to detect the space-time distribution pattern of malaria and determine significant environmental variables contributing to malaria incidence in Yongcheng from 2006 to 2010, thus providing scientific basis for further optimizing current malaria surveillance and control programs.

“Methods: This study examined spatial and temporal heterogeneities in the risk of malaria and the influencing factors on malaria incidence using geographical information system (GIS) and time series analysis. Univariate analysis was conducted to estimate the crude correlations between malaria incidence and environmental variables, such as mosquito abundance and climatic factors. Multivariate analysis was implemented to construct predictive model to explore principal environmental determinants on malaria epidemic using a Generalized Estimating Equation (GEE) approach.

Yearly average temperature at county level from 2006 to 2010 in Yongcheng prefecture, China.

Yearly average temperature at county level from 2006 to 2010 in Yongcheng
prefecture, China.

“Results: Annual malaria incidences at town-level decreased from the north to south, and monthly incidences at prefecture-level demonstrated a strong seasonal pattern with a peak from July to November. Yearly malaria incidence has a visual spatial association with yearly average temperature. Moreover, the best-fit temporal model (model 2) (QIC= 16.934, P<0.001, R2=0.818) indicated that significant factors contributing to malaria incidence were maximum temperature at one month lag, average humidity at one month lag, and the incidence of the previous month.

“Conclusions: Findings support the effects of environment factors on malaria incidence and indicates that malaria control targets should vary with intensity of malaria incidence, with more public resource allocated to controlling source of infections instead of large scale An. sinensis control when malaria incidence is at a low level, which would benefit for optimizing the malaria surveillance project in China and some other countries with unstable or low malaria transmission.”