Geospatial analysts work in a wide range of positions within almost every industry. They work in government, non-profit, academic, and private institutions using geospatial data and technology to answer questions about the environment, agriculture, climate, urban planning and design, marketing, public health, transportation, and myriad other topics. A typical day may include data prep/cleaning, field work, cartography, image analysis, vector analysis, feature engineering, modeling, or database management. This diverse group necessarily uses a diverse set of tools. In this talk, we will explore how R fits into the spatial analyst’s toolkit. What does the geo community think of R? Who uses it? What groups avoid it? What geo-packages are used most? How can we, as a community, make R more appealing for geospatial scientists?
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