{"id":777,"date":"2020-10-09T12:32:15","date_gmt":"2020-10-09T15:32:15","guid":{"rendered":"http:\/\/projects.upei.ca\/geolab\/?p=777"},"modified":"2021-09-08T15:58:22","modified_gmt":"2021-09-08T18:58:22","slug":"the-fir-trade-in-canada-mapping-commodity-flows-on-railways","status":"publish","type":"post","link":"https:\/\/projects.upei.ca\/geolab\/2020\/10\/09\/the-fir-trade-in-canada-mapping-commodity-flows-on-railways\/","title":{"rendered":"The Fir Trade in Canada: Mapping Commodity Flows on Railways"},"content":{"rendered":"\n<p>By Joshua MacFadyen and Nolan Kressin*, University of Prince Edward Island<\/p>\n\n\n\n<p>For the full lesson on the historical GIS methods and tools described in this post, see the new tutorial in the&nbsp;<em>Geospatial Historian<\/em>&nbsp;<a href=\"https:\/\/geospatialhistorian.wordpress.com\/arcgis-pro-lesson-3-visualizing-temporal-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">Methods of Visualizing Temporal Data<\/a>, by Nolan Kressin and Joshua MacFadyen.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p>The movement of commodities has been an important study within Canadian scholarship since Harold Innis wrote&nbsp;<em>The Fur Trade in Canada<\/em>&nbsp;(1930), but many forget that in his earlier thesis on the Canadian Pacific Railway (CPR) Innis also focused on the goods that these lines carried to market each year. By examining the records of the CPR, Innis painstakingly summarized the freight capacity and the market conditions that shaped this chapter in Canadian environmental history. Innis was well-known as a \u201cdirt\u201d researcher, digging into archival collections and often cutting-and-pasting his notes across manuscripts (literally, with scissors) to organize the enormous amounts of information he collected. As historians turn to more focused studies of individual commodities, we can parse large historical datasets with tools beyond scissors and glue. In this piece we discuss new ways to take some of the same historical railway data and focus on resources like firewood and lumber in their natural environments. In theory, we could even use the railway locations to focus on forest types (softwood) or even species. Perhaps if he had these digital tools, Innis\u2019s first book after the CPR study might have been called the \u201cFir Trade in Canada.\u201d<\/p>\n\n\n\n<!--more Continue reading-->\n<!--noteaser-->\n\n\n\n<p>Scholars like Innis might well have imagined a time when computerized systems could assist in the collection and visualization of historical records, but I\u2019m not sure they could have foreseen tools like Geographic Information Systems (GIS) and the ability to create animated maps of railways and the goods they carried between rural and urban environments. In this article, we explain the process we followed to create just such an animated map of a firewood as it was hauled around by not just the CPR, but all railways in Canada. We needed a map that would help shed light on both the&nbsp;<em>geographic&nbsp;<\/em>distribution of biomass energy production and consumption and the&nbsp;<em>temporal&nbsp;<\/em>trends during a period of intensive economic growth (and hence energy expansion). We know that seems like a rather specific research question, but we argue that others could follow a similar process to map the movements of any commodity or passenger traffic on historical railways or any other routes (eg road or water transport) over time.Firewood hauled on eastern Canadian railways, 1876-1903. The symbols represent the cords of wood hauled per meter on individual railways.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe loading=\"lazy\" class=\"youtube-player\" width=\"584\" height=\"329\" src=\"https:\/\/www.youtube.com\/embed\/Vu_-Y1Oo5xg?version=3&#038;rel=1&#038;showsearch=0&#038;showinfo=1&#038;iv_load_policy=1&#038;fs=1&#038;hl=en-US&#038;autohide=2&#038;wmode=transparent\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation allow-popups-to-escape-sandbox\"><\/iframe><\/span>\n<\/div><\/figure>\n\n\n\n<p>The method we cover in&nbsp;<a href=\"https:\/\/geospatialhistorian.wordpress.com\/arcgis-pro-lesson-3-visualizing-temporal-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">the tutorial<\/a>&nbsp;is a relatively new feature in Geographic Information Systems known as time mapping, or temporal GIS. GIS was designed to visualize and analyse spatial data, first and foremost. Only in recent years have developers focused on the software\u2019s capacity to represent the temporal attributes that accompany many forms of geographic information. Now there are many striking examples of visualizations that can map everything from the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.windy.com\/\" target=\"_blank\">patterns of wind<\/a>&nbsp;to the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.shipmap.org\/\" target=\"_blank\">shipment of goods<\/a>, and the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.lucify.com\/the-flow-towards-europe\/\" target=\"_blank\">movement of migrants<\/a>. The humanities are close behind with time maps of&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/vividmaps.com\/us-map-population-density\/\" target=\"_blank\">US population density<\/a>&nbsp;(1790-2010),&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.slavevoyages.org\/voyage\/database#timelapse\" target=\"_blank\">trans-Atlantic slavery<\/a>, and&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/youtu.be\/LLCF7vPanrY\" target=\"_blank\">nuclear detonations<\/a>&nbsp;since 1945. Military historians have created time maps of conflicts from stylized animations of US&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.battlefields.org\/learn\/maps\/civil-war-animated-map\" target=\"_blank\">Civil War<\/a>&nbsp;battlefields to detailed sequences of Canadian movements at the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/bartlettr.github.io\/VimyRidge\/\" target=\"_blank\">Battle of Vimy Ridge<\/a>. For a large collection of projects containing some element of animation see&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/mappinghistory.uoregon.edu\/english\/index.html\" target=\"_blank\">Mapping History<\/a>&nbsp;from the University of Oregon.<\/p>\n\n\n\n<p>As ESRI\u2019s guide to \u201c<a href=\"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/working-with-temporal-data-in-arcgis\/\" target=\"_blank\" rel=\"noreferrer noopener\">Working with Temporal Data in ArcGIS<\/a>\u201d explains, there are at least four types of temporal GIS data.&nbsp;<em>Moving features<\/em>&nbsp;are those that move over space, like a tornado or hurricane where the centre is often in a different location every hour.&nbsp;<em>Discrete<\/em>&nbsp;events can contain data about features that usually happen in a single place and time, like a car accident.&nbsp;<em>Stationary<\/em>&nbsp;features contain data about a single place over time, such as a sensor, and&nbsp;<em>change\/growth<\/em>&nbsp;features represent a feature that changes in size, such as a forest fire, or in the case of this exercise, railways.&nbsp;<\/p>\n\n\n\n<p>Like many aspects of GIS, its temporal capabilities often exceed what historians need. Any of those data types above can use calendar or non-calendar time scales up to fractions of a second apart. Historians often have much coarser temporal details for our data (months or years), or we want to map features in decades or even centuries. Moreover, we are often missing or uncertain of key dates. GIS lacks the ability to incorporate most of these uncertainties, and cartographers often have to get creative when mapping historical features. In this example of historical railways, the data were reported inconsistently in both time and space. We were missing key&nbsp;<em>dates<\/em>&nbsp;in the 1890s because officials reported each company\u2019s freight data in an aggregated form. We were also missing some&nbsp;<em>spaces<\/em>&nbsp;because certain railways existed but did not report their freight data accurately, or at all, in some years. Finally, historians routinely work with a sample of the total available data, particularly when extensive digitization, data entry, and development are necessary. Depending on their objectives, scholars can uncover and demonstrate geographic patterns without entering every known historical observation. In the case of Canadian railways, we decided to work with sample years in the period (1876-1921), selecting dates that we knew were relatively complete and that illustrated the extent of wood shipments in key periods.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i0.wp.com\/niche-canada.org\/wp-content\/uploads\/2020\/10\/1887a.jpg?resize=970%2C720&amp;ssl=1\" alt=\"\" class=\"wp-image-27842\" \/><figcaption>Even some of the more complete records of railway freight aggregated the data for major trunk lines. \u201cSummary Statement of Description of Freight Carried, for the year ended 30th June, 1886,\u201d&nbsp;<em>Sessional Papers<\/em>&nbsp;of Canada 1887.<\/figcaption><\/figure>\n\n\n\n<p>Digital humanities scholars use a variety of tools to help visualize historical change in a GIS. In the early days of PowerPoint, historians might have created a series of maps with an identical scale and extent and then shown them in sequence (or even as an animation) in order to help audiences quickly recognize spatial patterns that changed over time. Increasingly, scholars now use video and gif photo formats to create a similar effect in a file format that is easier to share online or outside of a lecture setting. GIS companies have made it easier to share series of static map images online or map sequences in a web interface so that they appear to change at the user\u2019s control. Sean Kheraj used ESRI&nbsp;<a href=\"http:\/\/yorku.maps.arcgis.com\/apps\/Cascade\/index.html?appid=be315cc80ef24ed5b21884d095214331\">Story Maps<\/a>&nbsp;and YouTube video animations to show the expansion of pump stations, mainlines, and capacity in Canadian oil pipelines between 1950-1979. These visualizations were part of his research project \u201cSilent Rivers of Oil: A History of Oil Pipelines in Canada since 1947,\u201d available in several talks and publications on this&nbsp;<a href=\"http:\/\/niche-canada.org\/silentrivers\/\">NiCHE project<\/a>&nbsp;page.<\/p>\n\n\n\n<p>Two of the main GIS developers (ESRI and QGIS) now offer tools that will recognize calendar or non-calendar time attributes in your data and then display them in a sequence using a time slider control feature. These tools have both descriptive and analytical applications, and we would argue that railway maps are a great candidate for both. Similar to Kheraj\u2019s pipeline map, ESRI Canada has created a&nbsp;<a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=89044dbd4e7a4ec288d18b2b477237d4\">web map<\/a>&nbsp;(and&nbsp;<a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=fa59ef51b75e49f48d524a0b3af09c58\">accompanying lesson<\/a>) on ArcGIS Online. The result shows some of the strengths of a time-enabled map of historical transportation systems like the Canadian railways, and readers who simply want to see a basic map of railway expansion in Canada, should certainly check it out. However, for those who want to map and visualize changes in historical data (such as firewood or other freight), keep reading and consider following through to our full&nbsp;<em>Geospatial Historian<\/em>&nbsp;<a href=\"https:\/\/geospatialhistorian.wordpress.com\/arcgis-pro-lesson-3-visualizing-temporal-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">lesson on temporal GIS<\/a>.<\/p>\n\n\n\n<p>Temporal GIS also allows historians to conduct analytical exercises based on the temporal attributes of their historical data. In many cases, it would be nearly impossible to answer some of these questions without a GIS. For example, consider a query like \u201chow often did icebergs come within 10 Km of Twillingate Lighthouse in Newfoundland in May of each year, and did those increase or decrease with changes in global and regional climate?\u201d To answer this question you would need something like the&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/www.icedata.ca\/iceberg-sightings\/\" target=\"_blank\">iceberg sightings database<\/a>&nbsp;(c1800-1959) with multiple years of iceberg data including both their precise location at time points that spanned the longer iceberg sighting season. The GIS could then identify the location of each point, measure their distances to \u2014 and select only those points within 10 Km of \u2014 Twillingate Lighthouse, and then return only those with \u201cMay\u201d in their temporal attribute data. Temporal mapping allows historians to consider a range of geospatial questions of their sources, but it\u2019s also great for demonstrating patterns through basic data visualization.<\/p>\n\n\n\n<p>In this exercise we performed a simpler form of temporal analysis (freight hauled per distance on each line). The results allowed us to focus our historical research on railways and regions that \u201cstood out\u201d on the map. Some of the leading firewood lines, in both real and relative amounts, were narrow gauge railways like the Toronto, Grey &amp; Bruce. These were designed specifically to haul firewood to the growing energy markets in Ontario\u2019s cities, so it\u2019s no surprise that they appeared as bright red veins connecting Toronto to its hinterland. By comparing firewood to other commodities hauled on each line we see that the narrow gauge companies dedicated up to 50 percent of their freight to firewood. Others like the Whitby and Port Perry were not known as fuel trains, but they still stand out on the relative map and they actually dedicated increasing amounts to firewood in the early years (rising from 8 to 12 percent). As firewood supplies decreased and coal imports increased in Southwestern Ontario, the concentrations around Toronto disappeared from the temporal map. However, the data visualization revealed some surprising concentrations on short-haul lines connecting Eastern Ontario and Quebec cities with regions in the Canadian Shield. These will be explored in a forthcoming article.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"http:\/\/www.trha.ca\/trha\/history\/stations\/port-perry-station\/\"><img decoding=\"async\" src=\"https:\/\/i0.wp.com\/www.trha.ca\/trha\/wp-content\/gallery\/portperrygtr\/PortPerryPWPP.jpg?w=970\" alt=\"\" \/><\/a><figcaption>Cordwood piled at the Port Perry Station, likely in the 1870s. Source: Toronto Railway Historical Association, \u201cPort Perry Station\u201d http:\/\/www.trha.ca\/trha\/history\/stations\/port-perry-station\/<\/figcaption><\/figure>\n\n\n\n<p>The research required three general categories of sources, historical railway\/freight statistics, historical railway GIS data, and general railway histories. We found most of the historical statistics in the&nbsp;<em>Sessional Papers<\/em>. The annual reports of the Canadian Minister of Railways and Canals usually contained a \u201cSummary Statement of Description of Freight Carried\u201d by railways in the previous year. These tables were also reproduced in the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www65.statcan.gc.ca\/acyb_r000-eng.htm\" target=\"_blank\"><em>Canada Year Book<\/em><\/a>, and in the later years (1900s), these were the only historical sources available to us. The&nbsp;<a href=\"http:\/\/mercator.geog.utoronto.ca\/georia\/datasum\/dataset_rwys_ORIG.htm\" target=\"_blank\" rel=\"noreferrer noopener\">historical railway GIS data<\/a>, a collection of line segments representing railways built between 1836-1922, were supplied by Byron Moldofsky of the&nbsp;<a href=\"http:\/\/geohist.ca\/\" target=\"_blank\" rel=\"noreferrer noopener\">Canadian Historical GIS Partnership<\/a>. However, even these require data development, technical knowledge, and collaboration to use them to their full potential. Finally, general railway histories were required to provide historical context and to fill some of the gaps that appeared when trying to match the historical statistics to the historical GIS data. As we mentioned, the historical railway\/freight statistics data had many limits. This requires extensiveresearch in railway histories and other secondary sources such as Christopher Andreae\u2019s&nbsp;<em>Lines of Country<\/em>&nbsp;(1997). In the cases where no match could be found, we had to decide whether the railways existed but failed to report their data, or whether the historical GIS files were incorrect. This is explained in the difference between \u201cgrey and white\u201d lines in the tutorial.&nbsp;<\/p>\n\n\n\n<p>In the end this 15-second animation answered some questions and raised many others. Most interesting to us were the ways we could quickly confirm the importance of firewood lines like Toronto Grey and Bruce. However, we were surprised to see those diminish so quickly in the 1880s. We were also intrigued by how the maps identified other Toronto-area wood haulers like the Whitby and Port Perry Railway. Finally, as the next chapters of this research will explore, these maps helped reveal how new lines like J.R. Booth\u2019s \u201cCanada Atlantic Railway\u201d to Ottawa, New York State, and New England created entirely new firewood supply chains in areas that would otherwise have experienced a more rapid transition from wood to coal.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/churcher.crcml.org\/Articles\/Article2007_04.html\"><img decoding=\"async\" src=\"https:\/\/i1.wp.com\/churcher.crcml.org\/Articles\/art2007_17.jpg?w=970&amp;ssl=1\" alt=\"\" \/><\/a><figcaption>Canada Atlantic Railway locomotive No. 10, in November 1886. Note the wood fuel in the tender and in the fuel car behind it. Library and Archives Canada, C-25967. Source: Colin Churcher, \u201cFuelled by Wood\u201d Branchline (May 2007). p9.<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p>*Nolan Kressin is a research assistant with the&nbsp;<a href=\"https:\/\/projects.upei.ca\/geolab\/\">UPEI GeoREACH Lab<\/a>&nbsp;and an undergraduate student in the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.upei.ca\/programs\/applied-climate-change-and-adaptation\" target=\"_blank\">Applied Climate Change and Adaptation<\/a>&nbsp;program at the University of Prince Edward Island.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p><em>Feature Image: Cords of Firewood Hauled on Canadian Railways, 1878. Source: Sessional Papers of Canada. Map by the Authors.<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p><strong>References<\/strong><\/p>\n\n\n\n<p>Andreae, Christopher.&nbsp;<em>Lines of Country: An Atlas of Railway and Waterway History in Canada<\/em>. Erin, Ontario: Boston Mills Press, 1997.<\/p>\n\n\n\n<p>Churcher, Colin. \u201cFuelled by Wood.\u201d&nbsp;<em>Branchline<\/em>&nbsp;(May 2007), pp 6-9. See also Churcher, Colin. \u201cFuelled by Wood\u201d&nbsp;<a href=\"https:\/\/churcher.crcml.org\/Articles\/Article2007_04.html\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/churcher.crcml.org\/Articles\/Article2007_04.html<\/a>&nbsp;Accessed 7 October 2020.<\/p>\n\n\n\n<p>Innis, Harold.&nbsp;<em>A History of the Canadian Pacific Railway<\/em>. London: P.S. King, 1923. E-book on Gutenberg&nbsp;<a href=\"https:\/\/gutenberg.ca\/ebooks\/innis-historyofthecpr\/innis-historyofthecpr-00-h.html\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/gutenberg.ca\/ebooks\/innis-historyofthecpr\/innis-historyofthecpr-00-h.html<\/a>&nbsp;Accessed 7 October 2020.<\/p>\n\n\n\n<p>Innis, Harold.&nbsp;<em>The Fur Trade in Canada: An Introduction to Canadian Economic History<\/em>. New Haven: Yale University Press, 1930.<\/p>\n\n\n\n<p>Institute for Ocean Technology, \u201cIce Data Project: Iceberg Sighting Database,\u201d&nbsp;<a href=\"http:\/\/www.icedata.ca\/iceberg-sightings\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/www.icedata.ca\/iceberg-sightings\/<\/a>&nbsp;Accessed 7 October 2020.<\/p>\n\n\n\n<p>Toronto Railway Historical Association, \u201cPort Perry Station.\u201d&nbsp;<a href=\"http:\/\/www.trha.ca\/trha\/history\/stations\/port-perry-station\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/www.trha.ca\/trha\/history\/stations\/port-perry-station\/<\/a>&nbsp;Accessed 7 October 2020.The following two tabs change content below.<\/p>\n\n\n\n<ul><li><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>By Joshua MacFadyen and Nolan Kressin*, University of Prince Edward Island For the full lesson on the historical GIS methods and tools described in this post, see the new tutorial in the&nbsp;Geospatial Historian&nbsp;Methods of Visualizing Temporal Data, by Nolan Kressin &hellip; <a href=\"https:\/\/projects.upei.ca\/geolab\/2020\/10\/09\/the-fir-trade-in-canada-mapping-commodity-flows-on-railways\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":257,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"footnotes":"","_jetpack_memberships_contains_paid_content":false,"jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[1],"tags":[],"jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Fir Trade in Canada: Mapping Commodity Flows on Railways - The GeoREACH Lab at UPEI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/projects.upei.ca\/geolab\/2020\/10\/09\/the-fir-trade-in-canada-mapping-commodity-flows-on-railways\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Fir Trade in Canada: Mapping Commodity Flows on Railways - The GeoREACH Lab at UPEI\" \/>\n<meta property=\"og:description\" content=\"By Joshua MacFadyen and Nolan Kressin*, University of Prince Edward Island For the full lesson on the historical GIS methods and tools described in this post, see the new tutorial in the&nbsp;Geospatial Historian&nbsp;Methods of Visualizing Temporal Data, by Nolan Kressin &hellip; 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