Getting to Know Esri Business Analyst: New Workbook Teaches How to Analyze Business Opportunities Spatially

Getting to Know Esri Business Analyst, by Fred L. Miller, teaches entrepreneurs how to use a wide range of Business Analyst applications to develop opportunities and serve customers more efficiently. Readers learn by completing fully illustrated, step-by-step exercises based on the growth of a hypothetical startup business, from its conception to its emergence as a national enterprise.

A useful resource for business professionals and business students alike, Getting to Know Esri Business Analyst gives readers the skills to make better business decisions using the tools available in the Business Analyst suite. Data for completing the exercises is available on a DVD that comes packaged with the workbook.

Business Analyst software combines geographic information system (GIS) technology with national business, demographic, consumer spending, and street data, allowing entrepreneurs to quickly analyze business opportunities in their area.

“The premise of Getting to Know Esri Business Analyst is simple: integrated business GIS in general, and Business Analyst in particular, are no longer solely the tools of specialists in large organizations but have evolved into essential information technology resources for enterprises of all types and sizes,” Miller says. “The objective of this book is to help business professionals understand and exploit these technologies.”

Miller is Thomas Hutchens Distinguished Professor of Marketing and Business GIS in the Department of Management, Marketing, and Business Administration at Murray State University (MSU), Murray, Kentucky. He is also director of MSU’s Regensburg Exchange Programs. His teaching and research interests include business GIS, e-commerce, emerging technologies in marketing, and global marketing management. Miller authored the book GIS Tutorial for Marketing (Esri Press, 2007).

Getting to Know Esri Business Analyst (ISBN: 978-1-58948-235-7, 352 pages, $79.95) is available at online retailers worldwide, at, or by calling 1-800-447-9778. Outside the United States, visit for complete ordering options, or visit to contact your local Esri distributor. Interested retailers can contact Esri Press book distributor Ingram Publisher Services.

[Source: Esri press release]

A Spatial Temporal Analysis of Wetland Losses in the Lagos Coastal Region, Southwestern Nigeria, using Multi-date Satellite Imagery

IEEE International Geoscience and Remote Sensing Symposium,IGARSS 2009

Taiwo, O.J., and Areola, O.

“This paper assesses the temporal trend and the spatial patterns of wetland forest loss in the Lagos coastal region of southwestern Nigeria between 1978 and 2006 based on the comparative analysis of multi-date satellite imageries for 1978, 1987, 1995, 2000 and 2006. The initial number of wetland habitats was derived using an unsupervised classification algorithm. Freshwater and mangrove swamp forests dominated the area. Generally, the wetlands declined by 19% between 1978 and 2006 at 0.6% annual rate of loss. The freshwater and mangrove swamp forests declined by 20.9% and 13.0% with an annual rate of loss of 0.7% and 0.43% respectively. Using the Markov Chain technique, the trend in wetland loss would likely continue if the current economic, social and political systems are maintained. The lower rate of decline of mangrove forests compared with freshwater swamp forests is a reflection of the more waterlogged and difficult terrain.”

A Smart Sensor Web for Ocean Observation: Fixed and Mobile Platforms, Integrated Acoustics, Satellites and Predictive Modeling

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010

Bruce M. Howe, Yi Chao, Payman Arabshahi, Sumit Roy, Tim McGinnis, and Andrew Gray

“In many areas of Earth science, including climate change research and operational oceanography, there is a need for near real-time integration of data from heterogeneous and spatially distributed sensors, in particular in situ and space-based sensors. The data integration, as provided by a smart sensor web, enables numerous improvements, namely, 1) adaptive sampling for more efficient use of expensive space-based and in situ sensing assets, 2) higher fidelity information gathering from data sources through integration of complementary data sets, and 3) improved sensor calibration. Our ocean-observing smart sensor web presented herein is composed of both mobile and fixed underwater in situ ocean sensing assets and Earth Observing System satellite sensors providing larger-scale sensing. An acoustic communications network forms a critical link in the web, facilitating adaptive sampling and calibration. We report on the development of various elements of this smart sensor web, including (a) a cable-connected mooring system with a profiler under real-time control with inductive battery charging; (b) a glider with integrated acoustic communications and broadband receiving capability; (c) an integrated acoustic navigation and communication network; (d) satellite sensor elements; and (e) a predictive model via the Regional Ocean Modeling System interacting with satellite sensor control.”

Read the paper [PDF]

New Maps Show Economic Opportunities for Poor Livestock Farmers in Uganda

The World Resources Institute (WRI) is unveiling today a new set of maps illustrating possible market opportunities for Uganda’s livestock farmers living in poverty. The maps compare for the first time 2005 poverty levels with livestock data from the 2002 population and housing census and the 2008 national livestock census.

“Seven out of ten households in Uganda own livestock, making it an integral part of Ugandans’ diet, culture, and income,” said Hon. Hope R. Mwesigye, Ugandan Minister of Agriculture, Animal Industry and Fisheries and co-author of Mapping a Better Future: Spatial Analysis and Pro-Poor Livestock Strategies in Uganda. “The maps are meant to guide the government’s future investments to reduce poverty while strengthening the livestock sector.”

This map combines poverty rates with milk production data and shows only the poverty rates for administrative areas with milk surplus.

Hon. Syda N.M. Bbumba, Uganda Minister of Finance, Planning and Economic Development, said, “Examining the spatial relationships between poverty; livestock systems; location of livestock services, such as dairy cooling plants; and livestock disease hotspots can provide new evidence-based information to help craft more effective investments and poverty reduction efforts.”

While Uganda’s total agricultural output has declined, livestock figures have increased dramatically in the last decade due to strong domestic and regional demand for livestock products, according to the report.

“Increased livestock production carries both economic opportunities for Ugandans and greater risk for transmission of animal diseases,” said Nicholas Kauta, Commissioner of Livestock Health and Entomology at the Ministry of Agriculture, Animal Industry and Fisheries. “The maps included in this report will help Uganda’s leaders understand market opportunities and, at the same time, target at-risk areas for disease outbreaks with appropriate health intervention plans.”

For instance, maps showing milk surplus and deficit areas can highlight geographic differences in market opportunities for poor dairy farmers. According to the maps in the report, about 3.5 million people live in subcounties identified as producing more milk than their residents consume and approximately 0.8 million poor people live in areas where the demand for milk is greater than supply. This information can help policymakers, dairy researchers and development agencies gauge market opportunities and invest in infrastructure where it is needed the most.

“By combining social data and livestock information and analyzing the map overlays, decision-makers from different sectors can work together to identify solutions to complex problems facing communities such as diseases that affect both people and livestock,” said Norbert Henninger, senior associate at WRI and co-author of the report.

John B. Male-Mukasa, executive director of the Uganda Bureau of Statistics, said, “Uganda’s government acknowledges the importance of livestock to the nation’s economic development and food security, and as part of its 2010-2015 National Development Plan, it plans to invest in improved livestock breeds, water infrastructure, and livestock land management. The maps in this report will be useful in identifying the regions where investment is needed most dearly.”

Mapping a Better Future is the third installment in a series of publications using maps and spatial analysis to reduce poverty in Uganda, following two previous reports which targeted wetlands and water and sanitation.

[Source: World Resources Institute news release]