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Revista cartográfica

versión On-line ISSN 2663-3981versión impresa ISSN 0080-2085

Rev. cartogr.  no.105 Ciudad de México jul./dic. 2022  Epub 10-Oct-2022

https://doi.org/10.35424/rcarto.i105.1124 

Artículos

Analysis and comparison of maps made in the 18th century of the Amazon River

Análisis y comparación de mapas del río Amazonas realizados en el siglo XVIII

Francisco Manuel Guerrero Narváez* 
http://orcid.org/0000-0002-2871-2232

* Eötvös Loránd University, Hungary, e-mail: franciscoguerrero_12@hotmail.com.


Abstract

Some of the main obstacles to the conquest and colonization of America by European powers were the scarce knowledge of the territory and the hostility of indigenous ethnic groups to its presence. Over the years, remarkable characters played the role of explorers and applying empirical methods began the survey of the territory, using the data collected and with the methods available on that time the first maps were delineated. Nearly two centuries passed and maps of South America with the Amazon River and its hydrographic basin as one of the centrals elements began to be produced by religious and scientific personalities. The purposes were totally different, but the expected result was a reliable representation of the area. Through the use of geographic information system programs and specialized software in map comparison, a temporal and comparative analysis of five old maps of the region published in the eighteenth century was carried out, with which in a graphical way the reader can visualize the updates of the mapped geographic elements and the accuracy of the work. Likewise, the selected area was digitalized and the basic cartography of each map with its respective database was created. In order to visualize the information generated through a virtual environment, a Story Map Journal in ArcGIS Online was created, it includes a summary about the life of each author, a description and the bibliographic reference of the map made, and the map compared to current data.

Key words: Amazon River; old maps; eighteenth century; maps comparison; MapAnalyst

Resumen

Algunos de los principales obstáculos para la conquista y colonización de América por las potencias europeas fueron el escaso conocimiento del territorio y la hostilidad de las etnias indígenas frente a su presencia. A lo largo de los años, personajes notables desempeñaron el papel de exploradores y aplicando métodos empíricos iniciaron el levantamiento del territorio, utilizando los datos recolectados y con la tecnología de la época se delinearon los primeros mapas. Pasaron dos siglos y los mapas de Sudamérica con el río Amazonas y su cuenca hidrográfica como uno de los elementos centrales comenzaron a ser elaborados por personalidades religiosas y científicas. Los propósitos fueron totalmente diferentes, pero el resultado esperado era una representación confiable de la zona. Mediante el uso de programas de sistemas de información geográfica y software especializado en comparación de mapas, se ha realizado un análisis temporal y comparativo de cinco mapas antiguos de la zona publicados en el siglo XVIII, con el que de forma gráfica el lector puede visualizar las actualizaciones de los elementos geográficos mapeados y su exactitud. De igual forma, se ha digitalizado el área seleccionada y se ha elaborado la cartografía básica de cada mapa con sus respectivas bases de datos. Con el fin de visualizar la información generada mediante un entorno virtual, se ha creado un Story Map Journal en ArcGIS Online, que incluye un resumen de la vida de cada autor, una descripción y la referencia bibliográfica del mapa realizado y el mapa comparado con datos actuales.

Palabras clave: Río Amazonas; mapas antiguos; siglo dieciocho; comparación de mapas; MapAnalyst

1. Introduction

From the first expedition of Christopher Columbus to the Antilles in 1492, the elaboration of schemes or sketches of the new continent began, necessary to guide and organize the conquest activity (Vega, 2010). At the beginning, this activity produces fragmented information of the territory, among others causes, because the European exploration was slow, and the extension and characteristics of the region were also unknown.

In the search to dispel the scarce knowledge of the territory, an attempt was made to fill these empty gaps with images; in this process, the reference to the rivers was central since they allowed the construction of the unknown continental interior (projections), based on the association between mountains and water courses. The certainty that the mountains are the origin of rivers is a geographical opinion shared by classical authors and already widespread in medieval Christian thought (Vega, 2010).

This mountain-river link influences the preconfiguration of the continental interior, so that before the first exploration to the west was carried out, the unknown territory was imagined from the edge or limit constituted by the Atlantic coast of the continent. With this antecedent, either through the observation, assumption, or interpretation of indigenous informants, the first cartographic works were conceived that focus their attention on the new continent (Vega, 2010).

In South America, the extensive hydrographic network of the Amazon basin offered Europeans the means for their penetration and subsequent colonization. From the west to the east, the Spanish descended by rivers Napo and Marañón; another ‘port’ of incursion into this region was Cartagena city, through the Magdalena River, so they could reach Peru and Santa Fe de Bogota, and then move to the Orinoco River. Alternatively, from the east to the west, the Portuguese reached the continental interior by the Amazon, Mamore, or Madeira rivers (Barcelos, 2006). The Amazon River was the target of commercial investments by the Spanish, Portuguese, English, Dutch, and French, all of whom perceived it as an important route to the interior. It was decisive to gain territorial control, since navigating the river had three main objectives: to cross from one side of the continent to the other, to exploit the natural resources, and to be the first in contacted indigenous tribes (Dias, 2012).

During the seventeenth century, cartography had become an important activity for the European kingdoms particularly that relating to colonial territories, mainly it was necessary to explore, know and document the territory through maps as the final objective. The relevance attributed to such maps meant that they were often considered state secrets, although on other occasions they were allowed to be copied, translated, and published in collections (Torres, 2012). Among others, these three events marked the beginning of this intense period in the region:

  • Two Franciscan missionaries, Domingo de Brieva and Andrés de Toledo, after surviving an attack on the upper Napo, went down this river following a similar route to that of Francisco de Orellana, reaching Grão Pará at the mouth of the Amazon River in February 1637.

  • The Portuguese organized an upstream expedition with forty-five canoes, seventy soldiers and nine hundred natives that began in October 1637 and arrived in Quito in June 1638, whose captain was Pedro Teixeira.

  • On the return journey, the Spanish authorities sent Father Cristobal de Acuña as their emissary, he was commissioned to accompany the Portuguese group to Grão Pará; then he traveled to Spain and reported all the details of this episode directly to the King of Spain (Philip IV).

Clearly, these events increased the growing interest of the colonizers, giving rise to more explorations and their subsequent written and cartographic documentation. In addition, the separation between the Spanish and Portuguese crown in 1640 and its subsequent armed conflict, generated greater support for the actions of presence in the Amazon River and its tributaries. One of the main colonial agents were the religious orders, especially the Jesuits who are considered among the first explorers of the region, establishing the so-called ‘missions’ that facilitated the expansion of the borders and conversion of the indigenous population to Christianity (Barcelos, 2006).

2. Maps search

A search was carried out for maps published during the eighteenth century in online databases belonging to the National Library of France, Huntington Digital Library, Library of Congress (USA), National Library of Brazil, National Library of Rio de Janeiro, Republic Bank of Colombia, Mariano Moreno National Library, among others. Once the maps were selected, a classification was established based on the depicted area by defining two classes (Table 1), the research was carried out with five region maps based on their greater level of detail and information.

Table 1 Maps including Amazon basin published in the eighteenth century 

Depicted area
Region map Continent map
Carte de la Terre Ferme du Perou, du Bresil et du pays des Amazones: Dressée sur les Descriptions de Herrera de Laet, et des PP. d’Acuna, et M. Rodriguez et sur plusieurs Relations et Observations posterieures (1703)1 L’Amerique meridionale, dressée sur les observations de Mrs. de l'Academie Royale des Sciences & quelques autres, & sur les memoires les plus recens (1708)2
El gran rio Marañon, o Amazonas, con la missión de la Compañía de Jesús geográficamente delineado / por el P.Samuel Fritz, missionero continuo en este rio (1707)3 Amerique meridionale qui fait l'autre partie des Indes Occidentales (1711)4
Carte du cours du Maragnon ou de la grande route des Amazones (1745)5 Amérique Méridionale publiée sous les auspices de Monseigneur le Duc d’ Orleans Prémier Prince du Sang / par le Sr. d’Anville (1748)6
A new and accurate map of Peru and the country of the Amazones drawn from the most authentic French Maps e C. and regulated by astronomical observation (1747)7 South America from the latest discoveries shewing the Spanish & Portuguese Settlements according to Mr. D’Anville (1771)8
Provincia Quitensis Societatis Iesu in America Topographice exhibita (1751)9

2.1 Guillaume De L’Isle (1675 - 1726)

French cartographer who studied under the guidance of the astronomer Jean-Dominique Cassini, he was admitted into the French Academy of Sciences in 1702. In 1718, he gained a full membership of this institution and was appointed Chief Royal Geographer, so he had access to news of the latest discoveries and issued several maps particularly of France’s colonial possessions in America.

During 1703 he published a map of the northern part of South America, it renders the region in extraordinary detail offering both topographical and political information with forest and mountains beautifully rendered in profile. This, like most early maps, contrasts a detailed mapping of the coast with a speculative discussion of the interior, particularly the Amazon basin. He credits the mappings and explorations for Antonio de Herrera, Joannes de Laet, Cristobal de Acuña and Manuel Rodríguez (Daniel Crouch Rare Books, 2021).

2.2 Samuel Fritz (1654 - 1725 or 1730)

Czech Jesuit missionary who entered the Society of Jesus in 1673 where he probably studied cartography, then in 1683 he decided to go as a missionary to South America. He began his career in 1686 and was assigned the task of incorporating the territory between Napo River and Río Negro, that territory spanned about 700 kilometers along the Amazon River and was inhabited by the Omagua nation. In the late 1680s, the Maynas mission had probably included the Omagua Indians, and their neighbors the Yurimagua, Aisure, and Ibanoma because the work done by him.

In 1707, he engraved his map with the help of the Jesuit Juan de Narvaez whose initials appear on the title, and the support of the colonial authorities of Quito so it was dedicated to Phillip V, King of Spain. This map shows the course of the Amazon River from its headwaters close to Quito to its mouth at the Atlantic Ocean, a high level of detail of the hydrography in the region is shown, as well as the names of the towns and the tribes that inhabit them (Dias, 2012).

2.3 Charles Marie de La Condamine (1701 - 1774)

French mathematician and naturalist who achieved the first scientific exploration of the Amazon River. In 1735, he participated in an expedition to determine the longitude of a degree of meridian near the equator led by the mathematician Louis Goudin until 1743. After, La Condamine decided to change the way back to Europe taking the Amazon River course as a route to reach the Atlantic Ocean, his primary motivation was to produce a map “of the course of a river that traverses vast lands nearly unknown to [French] geographers” (La Condamine, 1747).

Finally, the presentation of the results was in 1745 including a map based on his observations. La Condamine was the person that took the measurements and the French geographer Jean-Baptiste Bourguignon d’Anville was the responsible to draw it (Cintra, 2011). The map includes the Pacific and Atlantic coast, it extended from the Spanish province of Quito in the west to the Portuguese city of Grão Pará (Belém) in the east, including the Guyanas to the north and parts of Brazil and Peru to the south.

2.4 Emanuel Bowen (1694 - 1767)

English engraver, publisher, and map seller in London from 1720 to 1767. His remarkable work earned him the rare distinction of being Royal Mapmaker to both, King George II of Great Britain, and Louis XV of France. He was highly regarded by his colleagues for producing some of the largest, detailed, and accurate maps of his era, due to his reputation he worked with most of the British cartographic figures of the period including John Ow’en and Herman Moll.

The maps that belong to his world atlas The Complete System of Geography’ have a distinctive and attractive style, rococo cartouches with vignettes representative of the areas shown, and annotations describing the region. This work is a description of countries, islands, cities, ports, lakes, rivers, mountains, and mines of the known world published in two volumes, it contains seventy maps that were drawn and engraved according to the latest discoveries and surveys of the time; one of which includes the representation of the Amazon River and its tributaries.

2.5 Károly Brentán (1694 - 1752)

Hungarian Jesuit missionary that spent a long time in South America, mainly performing tasks of evangelization and education with the indigenous population in the territories that are now Colombia, Ecuador, and Peru. The Marañón River was the area where he carried out his religious activities, he lived in the Andoa tribe but later visited the Miguiano, Amaono and Parano tribes (Lazca, 2000).

In 1747, his superiors sent him to Rome to represent the province of Quito. One year later, together with the Spanish missionary Nicolás de la Torre, they left Quito and traveled to the city of Grão Pará (Belém), taking the river route along the Amazon River. All his notes disappeared after his death, only a map intended as an appendix remained. Giovanni Petroschi, who had been close to the Jesuit order and had published several maps of South America, published the map, the Roman Cigni brothers were in charge of drawing and engraving. One copy can be found in the British Museum and in the Ecuadorian Library Aurelio Espinosa Pólit (Korányi, 2017).

3. Development of the practical work

The first methodologies designed for the validation of old maps emphasized that the computer could provide a great help in the task of superimposing old and modern maps by verifying their distortions, an example was the methodology developed by John Brian Harley (Harley, 1968). From that time to the present, technological resources evolved and cartography is almost entirely developed in digital form, which facilitates visual analysis and its comparison with modern maps (Cintra, 2009).

The methodology described in the research entitled ‘A Cartografía digital como ferramenta para a Cartografía histórica’ will be used as a reference, elaborated by Jorge Pimentel Cintra, Associate Professor of the Polytechnic School of São Paulo and member of the Historical and Geographical Institute of São Paulo. This examines the preliminary data of the old maps and using digital tools an analysis is carried out to determine its scale, the meridian of origin, and the projection used.

In order to avoid the repetitive use of the maps’ titles in the rest of the document, each one of the selected maps10 will be named with a reference letter followed by the initials of its author:

  • Carte de la Terre Ferme du Perou, du Bresil et du pays des Amazones: Dressée sur les Descriptions de Herrera de Laet, et des PP. d'Acuna, et M. Rodriguez et sur plusieurs Relations et Observations posterieures: A_GI (Guillaume De L’Isle).

  • El gran rio Marañon, o Amazonas, con la missión de la Compañía de Jesús geográficamente delineado / por el P.Samuel Fritz, missionero continuo en este rio: B_SF (Samuel Fritz).

  • Carte du cours du Maragnon ou de la grande route des Amazones: C_LC (Charles Marie de La Condamine).

  • A new and accurate map of Peru and the country of the Amazones drawn from the most authentic French Maps e C. and regulated by astronomical observation: D_EB (Emanuel Bowen).

  • Provincia Quitensis Societatis Iesu in America Topographice exhibita: E_KB (Károly Brentán).

3.1 Calculation of the scale

Using CorelDRAW, the images were resized based on the data obtained from consultations with online libraries that have an original or a copy of the maps in their collection (Table 2). Then, the distance between two consecutive parallels was calculated in order to establish the measurement of a degree of latitude and to compare this with the real distance on the ground. In order not to depend on a single measurement, between four or six measurements were made to have a greater sample of data and determine a more accurate result (Table 3, 4, 5, 6, 7). Scales are expressed by its denominator.

Table 2 Dimensions of the maps 

Map Height Width dpi Source of data
(cm) (pix) (cm) (pix)
A_GI 48.4 4 248 55.5 5 465 300 National Library of Brazil
B_SF 32 1 054 42 1 383 300 National Library of France
C_LC 16.2 748 38 1 536 300 John Carter Brown Library
D_EB 32 2 538 42.5 3 000 300 National Library of Brazil
E_KB 63 1 054 90 1 429 300 John Carter Brown Library

Table 3 Calculation of the scale of A_GI 

No. Parallels (°) Position (mm) Distance between the parallels (mm) Calculated scale Estimated scale
1 6 5 71.81 59.48 12.33 9.011.354 9.000.000
2 2 1 23.48 11.37 12.1 9.178.093 9.200.000
3 -6 -5 -72.58 -60.69 11.89 9.340.899 9.300.000
4 -11 -10 -132.99 -121.12 11.87 9.359.784 9.400.000
5 -16 -15 -193.78 -181.81 11.97 9.278.496 9.300.000

Table 4 Calculation of the scale of B_SF 

No. Parallels (°) Position (mm) Distance between the parallels (mm) Calculated scale Estimated scale
1 11 10 99.78 90.75 9.03 12.299.092 12.300.000
2 6 5 55.21 46.11 9.09 12.216.602 12.200.000
3 2 1 18.55 9.21 9.33 11.897.419 11.900.000
4 -6 -5 -55.33 -46.33 9.00 12.344.183 12.300.000
5 -11 -10 -101.81 -92.24 9.56 11.611.453 11.600.000

Table 5 Calculation of the scale of C_LC 

Parallels (°) Position (mm) Distance between the parallels (mm) Calculated scale Estimated scale
1 6 5 54.32 45.33 8.98 12.363.413 12.400.000
2 2 1 18.15 9.03 9.12 12.179.107 12.200.000
3 -2 -1 -18.09 -8.94 9.14 12.152.466 12.200.000
4 -5 -4 -44.83 -35.96 8.87 12.523.669 12.500.000

Table 6 Calculation of the scale of D_EB 

Parallels (°) Position (mm) Distance between the parallels (mm) Calculated scale Estimated scale
1 2 1 21.4 10.34 11.06 10.045.203 10.000.000
2 -5 -4 -54.88 -43.7 11.18 9.935.616 9.900.000
3 -9 -8 -97.97 -86.59 11.38 9.757.618 9.800.000
4 -13 -12 -140.38 -129.66 10.71 10.368.607 10.400.000
5 -21 -20 -226.06 -215.18 10.88 10.211.377 10.200.000

Table 7 Calculation of the scale of E_KB 

No. Parallels (°) Position (mm) Distance between the parallels (mm) Calculated scale Estimated scale
1 13 12 216.31 199.81 16.5 6.733.939 6.700.000
2 9 8 149.96 133.32 16.64 6.675.678 6.700.000
3 5 4 83.62 66.85 16.76 6.626.312 6.600.000
4 -5 -4 -83.25 -66.64 16.61 6.688.538 6.700.000
5 -9 -8 -149.87 -133.26 16.6 6.690.552 6.700.000
6 -13 -12 -215.95 -199.35 16.6 6.691.358 6.700.000

The origin of the measurements is the equatorial line, for which positive positions are calculated for northern latitudes and negative positions for southern latitudes. For a better visualization of the process, a screenshot of the map A_GI and the position of the parallels taken as a reference are included (Figure 1).

Figure 1 Position of the parallels of A_GI. 

With the estimated data, an average scale can be determined for each map and its corresponding standard deviation, which indicates the margin of error of the process (Table 8). This method is based on the dimensions described in table 2, if the values change depending on the source, the calculation must be carried out again.

Table 8 Mean scale and standard deviation 

Map Mean scale Standard deviation
A_GI 9.240.000 +/- 150.000
B_SF 12.000.000 +/- 300.000
C_LC 12.300.000 +/- 150.000
D_EB 10.000.000 +/- 240.000
E_KB 6.700.000 +/- 50.000

3.2 Calculation of the meridian of origin

In Global Mapper, images were georeferenced using the meridian and parallel intersections as control points in the drawn grid of each map. The georeferenced images were imported to QGIS Desktop, in which the longitude of 15 or 20 locations were determined in the coordinate system of each map, depending on the case; after from these same locations its current longitude was determined taking Greenwich as the meridian of origin. Finally, in a calculation table the Equation 1 was applied with the collected data, thus calculating the meridian of origin in reference to each of the locations (Table 9, 10 y 11).

λorig=λG-(360°-λa) (1)

λorig: Longitude of the meridian of origin in relation to Greenwich.

λG: Longitude of the point relative to Greenwich, obtained from a current map.

λa: Longitude of the measurement point on the map.

Table 9 Calculation of prime meridian of A_GI 

No. Locations λa (°) 360° - λa λG (°) λorig (°)
1 Bogotá 306.8 53.2 -74.07 -20.87
2 Borja 307.11 52.89 -77.55 -24.66
3 Caracas 311.88 48.12 -66.9 -18.78
4 Carthegene 304.04 55.96 -75.48 -19.52
5 Corupa 327.11 32.89 -51.62 -18.73
6 Cuenca 302.28 57.72 -80.00 -22.28
7 Curupatuba 324.62 35.38 -54.06 -18.68
8 Cuzco 309.37 50.63 -71.97 -21.34
9 Guayaquil 299.99 60.01 -79.89 -19.88
10 Jaen 304.24 55.76 -78.8 -23.04
11 Lima 302.75 57.25 -77.04 -19.79
12 Manta 298.55 61.45 -80.7 -19.25
13 Maracaibo 309.04 50.96 -71.61 -20.65
14 Napo 303.27 56.73 -77.81 -21.08
15 Pará 328.42 31.58 -48.49 -16.91
16 Pasto 302.25 57.75 -77.28 -19.53
17 Quito 301.38 58.62 -78.47 -19.85
18 S. Loüis de Maragnan 332.15 27.85 -44.26 -16.41
19 Trujillo 300.34 59.66 -79.03 -19.37
20 Zamora 303.55 56.45 -78.95 -22.5

Table 10 Calculation of prime meridian of B_SF 

No. Locations λa (°) 360° - λa λG (°) λorig (°)
1 Bogotá 300.61 59.39 -74.07 -14.68
2 Borja 297.3 62.7 -77.55 -14.85
3 Cuenca 294.00 66.00 -80.00 -14.00
4 Curupa 325.07 34.93 -51.62 -16.69
5 Curupatuba 322.5 37.5 -54.06 -16.56
6 Cuzco 300.39 59.61 -71.97 -12.36
7 Guayaquil 292.71 67.29 -79.89 -12.6
8 Jaen 294.44 65.56 -78.8 -13.24
9 Laguna 299.19 60.81 -75.67 -14.86
10 Lima 294.37 65.63 -77.04 -11.41
11 Napo 296.63 63.37 -77.81 -14.44
12 Negro 315.15 44.85 -60.01 -15.16
13 Pará 328.51 31.49 -48.49 -17.00
14 Pasto 294.73 65.27 -77.28 -12.01
15 Piura 291.57 68.43 -80.65 -12.22
16 Quito 293.39 66.61 -78.47 -11.86
17 Topayós 321.35 38.65 -54.94 -16.29
18 Truxillo 292.48 67.52 -79.03 -11.51
19 Xingú 324.74 35.26 -52.25 -16.99
20 Zamora 293.76 66.24 -78.95 -12.7

Table 11 Calculation of prime meridian of E_KB 

No. Locations λa (°) λG (°) λorig (°)
1 Bogotá -76.45 -74.07 2.38
2 Borja -78.64 -77.55 1.09
3 Cuenca -81.93 -80.00 1.93
4 Cuzco -74.28 -71.97 2.31
5 Guayaquil -82.89 -79.89 3.00
6 Gurupa -53.83 -51.62 2.21
7 Gurupatuba -55.71 -54.06 1.65
8 Laguna -76.36 -75.67 0.69
9 Lima -79.21 -77.04 2.17
10 Napo -79.29 -77.81 1.48
11 Pará -50.64 -48.49 2.15
12 Quito -81.2 -78.47 2.73
13 Truxillo -81.78 -79.03 2.75
14 Xingú -54.42 -52.25 2.17
15 Zamora -81.61 -78.95 2.66

For a better visualization of the process, a screenshot of the georeferenced map A_GI and the distribution of the locations taken as a reference for the calculation of the meridian of origin is included (Figure 2).

Figure 2 Distribution of the locations of A_GI. 

It should be added that the name of the locations was taken from each map, so there may be spelling mistakes or not coincidence with which it currently has. With the calculated data, an average λorig can be determined for each map and its corresponding standard deviation, which indicates the margin of error of the process (Table 12). In relation to the C_LC and D_EB maps, it was not necessary to carry out the previous procedure since each author described the meridian of origin used in their work.

Table 12 Meridian of origin of the maps 

Map Mean λorig (°) Standard deviation Meridian of origin
A_GI -20.16 +/- 1.98 Ferro (18° W)
B_SF -14.07 +/- 1.94 Tenerife (16° W)
C_LC - - Paris Observatory (2° E)
D_EB - - London (0°)
E_KB 2.09 +/- 0.64 Paris Observatory (2° E)

3.3 Determination of the map projection

Using CorelDRAW, the grid drawn on each map was delineated for a better visualization of its shape and the angles formed between meridians and parallels. Then, the distances between each of the meridians and parallels were calculated, taking the left and upper sides of the map as a reference (Table 13, 14, 15). The origin of the measurements for the parallels is the equatorial line, for which positive positions are calculated for northern latitudes and negative positions for southern latitudes; in the case of meridians, the origin of the measurements is a random meridian from which the positions to its left are negative and to its right are positive. For a better visualization of the process, a screenshot of how A_GI map grid looks like is included (Figure 3).

Table 13 Distance between each meridian and parallel of A_GI 

Parallels (°) Position (mm) Distance with the previous parallel (mm) Meridian (°) Position (mm) Distance with the previous meridian (mm)
10 64.44 32.37 305 -96.36 32.1
5 32.06 32.06 310 -64.25 32.13
0 0 0 315 -32.11 32.11
-5 -32.31 32.31 320 0 0
-10 -64.67 32.36 325 31.75 31.75
-15 -97.35 32.67 330 63.95 32.2
-20 129.38 32.02 335 96.04 32.09
340 127.62 31.58
345 160.69 33.06

Table 14 Distance between each meridian and parallel of B_SF 

Parallels (°) Position (mm) Distance with the previous parallel (mm) Meridian (°) Position (mm) Distance with the previous meridian (mm)
10 93.06 45.76 200 0 0
5 47.3 47.3 205 47.29 47.29
0 0 0 300 94.06 46.77
-5 -47.46 47.46 305 141.43 47.37
-10 -94.6 47.14 310 187.94 46.51
315 235.22 47.27
320 282.19 46.96
325 329.58 47.39
330 376.54 46.96

Table 15 Distance between each meridian and parallel of D_EB 

Parallels (°) Position (mm) Distance with the previous parallel (mm) Meridian (°) Position (mm) Distance with the previous meridian (mm)
4 34.5 34.5 82 0 0
0 0 0 78 34.69 34.69
-4 -35.88 35.88 74 69.33 34.64
-8 -71.1 35.21 70 103.35 34.01
-12 -106.21 35.11 66 137.59 34.24
-16 -140.74 34.53 62 171.68 34.08
-20 -175.71 34.97 58 205.82 34.1
-24 -210.61 34.9 54 240.7 34.87
50 275.14 34.44

Figure 3 Drawn grid of A_GI. 

With the drawn grid, the type of line with which the meridians and parallels were represented and the distance between each of them, the most probable map projection used was determined (Table 16). In relation to the C_LC and E_KB maps, it was not possible to carry out the previous procedure since each author did not depict any grid in their work.

Table 16 Projection of the maps 

Map Analysis of parallels Analysis of meridians Map Projection
A_GI Straight lines that keep a uniform distance between each of them Concave curves toward the central meridian, which appears to be located near the 320°. They keep a uniform distance between each of them Sinusoidal
B_SF Straight lines that keep a uniform distance between each of them Straight lines that keep a uniform distance between each of them Plate Carrée
D_EB Equator is a straight line; other parallels are concave curves toward their respective pole and keep a uniform distance between each of them Concave curves towards the central meridian, which appears to be located at 66°. They keep a uniform distance between each of them Stereographic in equatorial aspect

3.4 Process of georeferencing and digitalization of the main features

The data determined in the previous process allowed to perform a correct georeferencing of the images using Global Mapper (Table 17). An adjustment was made with 4 control points for each of the maps, with the exception of the B_SF in which 6 control points were used. Once each one of the georeferencing process was finished and its correct execution was verified, the images were exported to GeoTIFF (.tif) format together with their corresponding PRJ file (.prj).

Table 17 Data to perform the georeferencing 

Map Map Projection Meridian of origin Central meridian
A_GI Sinusoidal Ferro (-18°) 316°
B_SF Plate Carrée Tenerife (-16°) -
C_LC Plate Carrée12 Paris Observatory (2°) -
D_EB Stereographic in equatorial aspect London (0°) -66°
E_KB Plate Carrée13 Paris Observatory (2°) -

With the georeferenced images, the digitalization of the main features such as cities, rivers and coastlines began using the QGIS Desktop.11 Later, the Project Coordinate Reference System (CRS) was defined based on the parameters described in Table 17 and a GeoPackage (.gpkg) file was created to store the digitalized shapefiles.

The necessary shapefiles were created to represent the cities, rivers, and coastlines, setting the geometry type (point, line, or polygon) and the fields of the attribute table (name and level). Then, the digitization process was carried out, in the case of the cities and rivers, these elements were classified according to the symbology represented by each author in the original map, establishing categories in reference to their importance and flow, respectively. Finally, the attribute table was loaded with the map information and a particular style was defined for each shapefile that allows a quick identification of the entity it represents (Figure 4). Once the digitalization process was finished, the shapefiles were exported to GeoJSON (.geojson) format.

Figure 4 A_GI digitalized map. 

3.5 Comparison of the maps

The process of comparing the maps was carried out using MapAnalyst, each image was imported and defining its resolution (dpi). Later, each one of the control points between the old map and OpenStreetMap14 was determined and a name was assigned that allows its identification. In relation to the control points, common locations were selected among the five maps in order to better visualize and interpret the results, these sites were easily identifiable cities and main river mouths that in few exceptions were not represented (Table 18).

Table 18 Locations of the control points 

No. Description A_GI B_SF C_LC D_EB E_KB
1 city Borgia Borja Borja Borja Borja
2 city Cuenca Cuenca Cuenca Cuenca Cuenca
3 city Guayaquil Guayaquil Guayaquil Guayaquil Guayaquil
4 city Jaen Jaen Jaen Jaen Jaen
5 city - Laguna Laguna Laguna Laguna
6 city Lima Lima - Lima Lima
7 city Loxa Loxa Loxa Loxa Loxa
8 river mouth Madere Madera Madere Madera Madera
9 city Manta - - Manta -
10 city - Napo Napo Napo Napo
11 river mouth - Napo Napo Napo Napo
12 river mouth - Negro Negro Negro Negro
13 city Para Para Para Para Para
14 river mouth Parou Parú Parú - -
15 city Payta Payta Payta Payta Payta
16 river mouth Putomayo Putomayo Putomayo Putomayo Putomayo
17 city Quito Quito Quito Quito Quito
18 river mouth Tapaysos Topayós Topayós Topayós Topayós
19 river mouth - Tefe Tefe Tefe Tefe
20 river mouth Tocantins Tocantin Tocantin Paranayba Tocantin
21 city Truxillo Truxillo - Truxillo Truxillo
22 river mouth Yay - Yari - Yari
23 river mouth Yurupau Yurupa Yurupa Yurupau -
24 city Zamora Zamora Zamora Zamora Zamora

Once the control points were correctly determined and distributed, the compute option was selected, generating the graphical visualization of the comparison. The selected method was Displacements showing the variation of the position using Vectors & Circles at a scale factor of 1 (Figure 5). When each one of the comparison processes was finished, the images were exported to JPEG (.jpg) format.

Figure 5 Process of comparison of A_GI using MapAnalyst. 

4. Presentation and discussion of the results

The discussion of the results is based on the maps prepared with the digitalized shapefiles viewed through ArcGIS Online and the images produced by the comparison made with MapAnalyst. A description and visual analysis of the main characteristics of the maps under study is presented.

4.1 A_GI map

Visibly there was a greater knowledge of the cities in Ecuador and Peru, while in the Amazon and the Brazilian coast there is a reduced number of these. The coastal profile on the Brazilian coast is not detailed, the islands at the river mouth do not match with reality and were represented by several fragmented islands.

Regarding the positional displacements, it can be observed that they exist to a greater extent in the area of Ecuador and Peru, being the location of S. Francois de Borgia (Borja) an outlier of the control points. This great difference that can be observed in the terms of positional displacement is because the author took different sources of consultation to carry out his work (in the map title the author described the names of the sources) (Figure 6).

Source: National Library of Brazil.

Figure 6 A_GI compared map. 

4.2 B_SF map

The map can be divided into two for an analysis starting from the central meridian to the west, in the Spanish territory an important level of detail is displayed, the opposite case occurs from the central meridian to the east (Portuguese territory). A greater knowledge of the cities in Ecuador and Peru is maintained, besides the first towns appear in the Amazon. The coastal profile has little accuracy with reality, the river mouth on the Brazilian coast was represented by countless islands of small and medium size.

The positional displacement shows the lower precision of the control points in Ecuador and Peru (presumably a bad longitudinal positioning), although clearly along the river course it can be presumed that there were adjustments in the determination of the position, that allowed greater precision between the Rio Negro and Paru river until reaching the mouth of the Amazon River (Figure 7).

Source: National Library of France.

Figure 7 B_SF compared map. 

4.3 C_LC map

Being the work of Samuel Fritz earlier, and in order to establish a comparison between it and his map, the author included the Amazon River course and its most important tributaries drawn by Fritz as a background (dotted line). More cities in the Amazon are included. The coastal profile does not match in the part of the Gulf of Guayaquil, being deformed towards the continent, the Isle des Joanes ou de Marayo (Ilha de Marajó) is represented at the river mouth in the Mer du Nord (Atlantic Ocean) surrounded by few small islands.

The positional displacement is variable, in Ecuador and the northern Peru a greater displacement is visualized except for Jaen and Borja compare with the locations near the Brazilian coast, the mouth of the Napo River is the outlier. It can be presumed that in several positions the measurements did not follow the same methodology, or they were not carried out and external data sources were taken as reference (Figure 8).

Source: National Library of France.

Figure 8 C_LC compared map. 

4.4 D_EB map

The map is part of a world atlas prepared by the author. According to his description the sources of consultation were French maps from which he took the information. More cities are included in the eastern part of Ecuador and Peru. In the Amazon and the Brazilian coast, main cities are consolidated, and secondary cities appear. The coastal profile in Ecuador and Peru is irregular, the river mouth in the Atlantic Ocean does not match with reality since it was represented by islands of medium and small extension with a latitudinal displacement of the entire area towards the south.

The positional displacement is variable, on the Ecuadorian and Peruvian coasts it is greater compared to the central zone of both countries, the city of Napo (Tena) and St. Francois d’ Borja (Borja) show the largest displacement while at the Topayos River mouth is the shortest. Finally, on the Brazilian coast a lower positional accuracy is visualized (Figure 9).

Source: National Library of Brazil

Figure 9 D_EB compared map 

4.5 E_KB map

A greater presence of cities is displayed on the Brazilian coast. The coastal profile in Ecuador and Peru is irregular considering that the river mouths towards the sea are wider and penetrate the continent. The Ins. De Joannes alias de Marayo (Ilha de Marajó) surrounded by few small islands was represented at the river mouth in the Mar Septentrio (Atlantic Ocean).

The author belonged to the same religious mission as Samuel Fritz, so it can be assumed that he had access to its reports and maps, therefore it is observed that basic information remains on the map supplemented with the data obtained from his explorations. The positional displacement is greater in Ecuador and Peru compare with the control points along the river course and the Brazilian coast, the Napus (Napo) River mouth is an outlier of the control points. From the Tefe River mouth to the Brazilian coast, the positional precision improves so adjustments may have been made in the determination of the position (Figure 10).

Source: National Library of France

Figure 10 E_KB compared map 

5. Visualization of the work

In order to visualize the information generated through a virtual environment, ArcGIS Online was used. The shapefiles in GeoJSON format were loaded one by one (cities, coastlines, and rivers) with the same style previously defined in QGIS Desktop, to have a reference to the current state of the terrain a base map of satellite images15 was defined. Once the five web maps had been created, it was chosen to make a web mapping application called Story Map Journal,16 in which the cartography generated and the most outstanding information of each author are shown at the same time. A brief summary is presented about the life of each author, a link to a website with their biography, a description and the bibliographic reference of the map made, and the map compared to the reality carried out in MapAnalyst.

6. Conclusions

The conclusions that can be formulated after the completion of this research are the following:

  • QGIS Desktop is effective to rephrase an old map and have a digital version of its information stored for later use, preserving each of the characteristics such as prime meridian, central meridian, ellipsoid, projection, among others, with which the author prepared his work.

  • The comparison of old maps is viable and can be done using specialized software, in this case MapAnalyst is a program that allows the user to carry out this task and through three different visualization methods (distortion grids, vectors of displacement, accuracy circles, and isolines) the correlation between an old map and reality can be established. This research focused on describing an analysis based on the geometric accuracy of old maps; however, there are other parameters that can be analyzed such as completeness, logical consistency, temporal quality, thematic accuracy, among others.

  • The methodology to carry out this type of studies must be standardized in order to have specific parameters to be compared between the old map and the reality, which would allow an objective and precise analysis to be obtained for the formulation of the results.

  • The visual and descriptive process for the comparison of old maps must necessarily be complemented with the inclusion of statistical tables and mathematical analyzes in relation to the position of the objects, with which the accuracy achieved, and its corresponding error will be calculated.

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1L’Isle, G. (1703). Carte de la Terre Ferme du Perou, du Bresil et du pays des Amazones: Dressée sur les Descriptions de Herrera de Laet, et des PP. d'Acuna, et M. Rodriguez et sur plusieurs Relations et Observations posterieures. Paris, France. National Library of Brazil. http://acervo.bndigital.bn.br/sophia/index.asp?codigo_sophia=60674

2L'Isle, G, and Nicholas Guérard. (1708). L'Amerique meridionale, dressée sur les observations de Mrs. de l'Academie Royale des Sciences & quelques autres, & sur les memoires les plus recens. [Paris, France]. Library of Congress. https://www.loc.gov/item/gm71005435

3Fritz, S. (1707). El gran rio Marañon, o Amazonas, con la mission de la Compañia de Jesus geograficamente delineado, por el P. Samuel Fritz, missionero continuo en este rio. Quito, Ecuador. National Library of France. http://catalogue.bnf.fr/ark:/12148/cb40595397f

4Ménard, A. (1711). Amerique meridionale qui fait l'autre partie des Indes Occidentales. Paris, France. National Library of France. http://catalogue.bnf.fr/ark:/12148/cb45038740w

5La Condamine, C. (1743-1744). Carte du cours du Maragnon ou de la grande route des Amazones. National Library of France. http://catalogue.bnf.fr/ark:/12148/cb40622019t

6Anville, J. B. (1748). Amérique Méridionale publiée sous les auspices de Monseigneur le Duc d’ Orleans Prémier Prince du Sang, par le Sr. d’Anville. [Paris, France]. National Library of France. http://catalogue.bnf.fr/ark:/12148/cb40595776k

7Bowen, E. (1747). A new and accurate map of Peru and the country of the Amazones drawn from the most authentic French Maps e C. and regulated by astronomical observation. National Library of Brazil. http://acervo.bndigital.bn.br/sophia/index.asp?codigo_sophia=198

8Delarochette, L. (1771). South America from the latest discoveries shewing the Spanish & Portuguese Settle-ments according to Mr. D’Anville. Digital Library Banco de la República. https://babel.banrepcultural.org/digital/iiif/p17054coll13/475/full/full/0/default.jpg

9Brentán, K. (1751). Provincia Quitensis Societatis Iesu in America Topographice exhibita. National Library of France. http://catalogue.bnf.fr/ark:/12148/cb405958687

10For the development of the practical work, the images were downloaded from the websites detailed in the footnotes 1, 3, 5, 7, 9.

11The use of vector cartography produced by the National Geographic Institutes of Brazil, Colombia, Ecuador, and Peru was not considered because the difference between the scale used in the generation of the official cartography of each of these countries and the scale estimated in the point 3.1 Calculation of the scale for the five maps.

12This projection was assumed according to the historical research ‘Sailing Down the Amazon River: La Condamine’s Map’ (Cintra & Freitas; 2011).

13This projection was assumed, no previous study was found about this parameter.

14MapAnalyst is a software application for the accuracy analysis of old maps, its main purpose is to compute distortion grids and other types of visualizations that illustrate the geometrical accuracy and distortion of old maps. The software uses pairs of control points on an old map and on a new reference map, the control points are used to construct distortion grids, vector of displacement, accuracy circles, and isolines of local scale and rotation. The OpenStreetMap is a collaborative project to create a free editable map of the world, it covers large part of Europe, North America, and other parts of the world. The maps are created using data from portable GPS devices, aerial photography, and other free source; about the geometric quality of the cartography used in this viewer, the reader can consult publications such as: How Good is Volunteered Geographical Information? A comparative study of OpenStreetMap and Ordnance Survey datasets (Haka-lay, 2010) or Testing the positional accuracy of OpenStreetMap data for mapping applications (El-Ashmawy, 2016). Based on the criteria set out in these articles, the convenience of using OpenStreetMap cartography to compare the control points was considered.

15World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:288k) for the world. The map features Maxar imagery at 0.3m resolution for select metropolitan areas around the world, 0.5m resolution across the United States and parts of Western Europe, and 1m resolution imagery across the rest of the world. In addition to commercial sources, the World Imagery map features high-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 0.3m to 0.03m resolution (down to ~1:280 in select communities). For more information on this map, including the terms of use, visit: http://goto.arcgisonline.com/maps/World_Imagery

Received: September 12, 2021; Accepted: November 30, 2021

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