Suggested Resources for MAPS to use in conjunction with Asia in Western and World History A Guide for Teaching.

In the book of Philippians we are told to be anxious over nothing, and yet we are anxious over everything. We worry that our students will be "behind," that they won't score well on the SAT, get into a good college, or read enough of the Great Books. Our souls are restless, anxiously wondering if something else out there might be just a little bit better -- if maybe there is another way or another curriculum that might prove to be superior to what we are doing now. God doesn't call us to this work and then turn away to tend to other, more important matters. He promises to stay with us. He assures us that if we rely on Him alone, then He will provide all that we need. What that means on a practical level is that we have to stop fretting over every little detail. We need to stop comparing. We've got to drop the self-inflated view that we are the be-all-end-all of whether the education we are offering our students is going to be as successful as we hope it is. After all, our job is not to be successful -- success itself is entirely beside the point. It's faithfulness that He wants.

Get the Knowledge Without the College! You are a writer. You dream of sharing your words with the world, and you're willing to put in the hard work to achieve success. You may have even considered earning your MFA, but for whatever reason--tuition costs, the time commitment, or other responsibilities--you've never been able to do it. Or maybe you've been looking for a self-guided approach so you don't have to go back to school. This book is for you. DIY MFA is the do-it-yourself alternative to a Master of Fine Arts in creative writing. By combining the three main components of a traditional MFA--writing, reading, and community--it teaches you how to craft compelling stories, engage your readers, and publish your work. Inside you'll learn how to: • Set customized goals for writing and learning. • Generate ideas on demand. • Outline your book from beginning to end. • Breathe life into your characters. • Master point of view, voice, dialogue, and more. • Read with a "writer's eye" to emulate the techniques of others. • Network like a pro, get the most out of writing workshops, and submit your work successfully. Writing belongs to everyone--not only those who earn a degree. With DIY MFA, you can take charge of your writing, produce high-quality work, get published, and build a writing career.

GRADES 3–6: With age-appropriate activities, this beginning social studies workbook helps children build knowledge and skills for a solid foundation in map skills and geography. INCLUDES: This elementary workbook features easy-to-follow instructions and practice on key topics such as US geography, grid maps, US regions, global geography, North and South American geography, and more! ENGAGING: This geography and map workbook features colorful photographs and illustrations with fun, focused activities to entertain children while they grasp concepts and skills for success. HOMESCHOOL FRIENDLY: This elementary workbook for kids is a great learning resource for at home or in the classroom and allows parents to supplement their children's learning in the areas they need it most. WHY CARSON DELLOSA: Founded by two teachers more than 40 years ago, Carson Dellosa believes that education is everywhere and is passionate about making products that inspire life's learning moments.

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.