How Long to Read GIS and Machine Learning for Small Area Classifications in Developing Countries

How Long Does it Take to Read GIS and Machine Learning for Small Area Classifications in Developing Countries?

It takes the average reader 4 hours and 11 minutes to read GIS and Machine Learning for Small Area Classifications in Developing Countries by Adegbola Ojo

Assuming a reading speed of 250 words per minute. Learn more

Description

Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.

How long is GIS and Machine Learning for Small Area Classifications in Developing Countries?

GIS and Machine Learning for Small Area Classifications in Developing Countries by Adegbola Ojo is 246 pages long, and a total of 62,976 words.

This makes it 83% the length of the average book. It also has 77% more words than the average book.

How Long Does it Take to Read GIS and Machine Learning for Small Area Classifications in Developing Countries Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 44 minutes to read GIS and Machine Learning for Small Area Classifications in Developing Countries aloud.

What Reading Level is GIS and Machine Learning for Small Area Classifications in Developing Countries?

GIS and Machine Learning for Small Area Classifications in Developing Countries is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy GIS and Machine Learning for Small Area Classifications in Developing Countries?

GIS and Machine Learning for Small Area Classifications in Developing Countries by Adegbola Ojo is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy GIS and Machine Learning for Small Area Classifications in Developing Countries by Adegbola Ojo on Amazon click the button below.