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Chapter 9 Making maps with R | Geocomputation with R
Chapter 9 Making maps with R | Geocomputation with R
Prerequisites This chapter requires the following packages that we have already been using: library(sf) library(terra) library(dplyr) library(spData) library(spDataLarge) The main package used in...
·r.geocompx.org·
Chapter 9 Making maps with R | Geocomputation with R
Understanding Your Topographic Map Maker
Understanding Your Topographic Map Maker
The first-ever topographic maps were said to have been formed by the British in the late 18th century, and soon after, the US followed suit. Back then, the US had a department called the “Topographical Bureau of the Army,” which used these maps to plan tactical strategies during the War of 1812. However, even when the war ended, our interest in topography remained.
The term “topography” comes from a combination of two Greek words: “topo,” which means place, and “graphia,” which means writing. It is used to describe the study of a region’s forms and features, primarily to show their relative positions and elevations. Topography could refer to the forms and features themselves or a depiction of them (such as a map).
Unlike traditional maps which only represent the land horizontally, one made with a topographic map maker will represent the land vertically as well. These maps, also referred to as topo maps, show the form and elevation of an area, including the location and shape of hills, valleys, mountains, streams, and other natural or human-made features.
Contour Lines
Contour lines are the primary way in which topographic maps depict elevation. These imaginary lines connect points of equal elevation in order to present three-dimensional information on a two-dimensional map. This allows the viewer to visualize the height and shape of mountains, the depth of canyons, and the location of flat plains.  To determine the exact elevation of a location, you’ll need to know the contour interval – the difference in elevation between two contour lines. This will vary depending on the map, but regardless, you can calculate them yourself fairly easily. First, find the bolded contour lines that contain a number. These are the index contours, and the number is the elevation at the line.  Then, count the number of contour lines between each index contour, and divide the difference in elevation by that number. For instance, if you had one index contour with an elevation of 7,800 five contour lines apart from another index with an elevation of 8,000, the contour interval would be 40 ( (8,000 - 7,800) / 5 = 40 ).
The contour lines produced by your topographic map maker are often used to determine the slope or steepness of an area. The lines will be spaced farther apart when the slope is gentle, and closer together when the slope is steep. This is because, in steep areas, the elevation will increase at a greater frequency, so the lines will appear closer together. A completely flat meadow will have no contour lines, while a vertical cliff will have contour lines that are stacked on top of one another.
Features
You can also use contour lines to identify features of the land.  Peaks and Depressions: The innermost ring at the center of several other rings will typically represent a peak, but in some cases, it could represent a depression. Valleys: A valley is a type of depression in which water could flow down (if water is present), and they can be identified by their V or U shaped contour lines that point towards higher elevation (the peak). Cliffs: When two or more lines join together to form a single line, they represent a cliff. However, if the change in elevation isn’t great enough to call for another contour line, the cliff may not appear on the map. Ridges: A ridge is a chain of mountains or hills that create a continuous summit for an extended distance. These can be identified by V or U shaped contours that point towards lower elevation.  Saddles: A saddle is a low spot between two higher points of elevation, and on a topographic map, they appear as hourglass shaped contour lines.
·id.land·
Understanding Your Topographic Map Maker
Mapping Antarctica
Mapping Antarctica
Cool maps from the South Pole - Creating maps with R is usually straightforward, but representations thatcross the International DateLine...
·dieghernan.github.io·
Mapping Antarctica
1. osmdata
1. osmdata
·cran.r-project.org·
1. osmdata
AI Predictive Property Valuation 2025 Guide
AI Predictive Property Valuation 2025 Guide
Unlock data-driven real estate insights with AI. Discover valuation models and download the 2025 guide for smarter investments.
·rapidinnovation.io·
AI Predictive Property Valuation 2025 Guide
Custom Quarto Real Estate Report - AI Prompt
Custom Quarto Real Estate Report - AI Prompt
Generates a parameterized Quarto report template for property parcel and geospatial data analysis. Free Analysis prompt for ChatGPT, Gemini, and Claude.
·docsbot.ai·
Custom Quarto Real Estate Report - AI Prompt
A Checklist For Evaluating Land To Purchase
A Checklist For Evaluating Land To Purchase
I was recently reading an article about tasks to perform after buying a tract of land. I decided to develop a list of topics to consider for those evaluating land to purchase before buying any land to help when comparing properties to ensure you buy
·rliland.com·
A Checklist For Evaluating Land To Purchase
usmap
usmap
·usmap.dev·
usmap
pygris
pygris
·walker-data.com·
pygris
ReportAll
ReportAll
ReportAll Parcel Data ArcGIS API Data Dictionary
·reportallusa.com·
ReportAll
Land Parcel Data and Property Boundaries
Land Parcel Data and Property Boundaries
ReportAll’s comprehensive and reliable parcel data covers over 99% of the US, standardized daily for seamless integration and deeper insights.
·reportallusa.com·
Land Parcel Data and Property Boundaries
ChGARM
ChGARM
·www2.census.gov·
ChGARM
LightBox FEMA National Flood Hazard API Overview
LightBox FEMA National Flood Hazard API Overview
See how FEMA National Risk Index boundaries can help you understand risk at the county level with 18 natural hazard risks.
·lightbox.document360.io·
LightBox FEMA National Flood Hazard API Overview