Cartographic Intertextuality: Reading The Narrative of Captivity and Restoration of Mrs. Mary Rowlandson with Geographic Information Systems

2020 ◽  
pp. 211-224
Author(s):  
Dennis Mischke
Keyword(s):  
Native American ◽  
Information Systems ◽  
Geographic Information Systems ◽  
New England ◽  
Geographic Information ◽  
Armed Conflicts ◽  
Captivity Narratives ◽  
Mary Rowlandson ◽  
King Philip's War ◽  
Colonial New England

The Narrative of Captivity and Restoration of Mrs. Mary Rowlandson from 1682 is not only famous – or infamous – for its brutal descriptions of the armed conflicts of King Philip’s War, it is also a colonial document that contains both religious as well as spatial representations of Native American territories. This article proposes to analyze this entanglement of space and text with a combination of digital text analysis tools and geographic information systems (GIS). Applying the potentials of such technologies and methods to the study of captivity narratives like Mary Rowlandson’s opens up new opportunities to better understand the interaction of writing and space in colonial New England.

Memory Lands

2018 ◽  
Author(s):  
Christine M. DeLucia
Keyword(s):  
Native American ◽  
New England ◽  
Case Studies ◽  
Settler Colonialism ◽  
Early America ◽  
King Philip's War ◽  
Indigenous Resistance ◽  
Intercultural Interactions ◽  
Colonial New England ◽  
Resistance Movement

This book reassesses the nature and meanings of King Philip’s War (1675-1678), a major Indigenous resistance movement and colonial conflict that pervasively reshaped the American Northeast and has reverberated among regional communities for centuries. It focuses on specific places that have been meaningful to Native American (Algonquian) peoples over long spans of time, as well as to colonial New England residents more recently, and how the waging and remembrance of violence at these locales has affected communities’ senses of past, place, and collective purpose. Its case studies reinterpret intercultural interactions and settler colonialism in early America, the importance of place and environment in the production of history, and the myriad ways in which memory has been mobilized to shape the present and future. It emphasizes that American history continues to be contested, in highly local and sometimes hard-to-perceive ways that require careful interdisciplinary methods to access, as well as in more prominent arenas.

scholarly journals Automated Mapping of Historical Native American Land Allotments at the Standing Rock Sioux Reservation Using Geographic Information Systems

2021 ◽  
Vol 10 (3) ◽  
pp. 183
Author(s):  
Joshua Jerome Meisel ◽  
Stephen L. Egbert ◽  
Joseph P. Brewer ◽  
Xingong Li
Keyword(s):  
Native American ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
The United States ◽  
Initial Study ◽  
Geographic Information ◽  
United States Government ◽  
Mapping Technique ◽  
Automated Mapping

The General Allotment Act of 1887, also known as the Dawes Act, established the legal basis for the United States government to break up remaining tribally-owned reservation lands in the U.S. by allotting individual parcels to tribal members and selling the remaining “surplus.” This research explores the processes involved in mapping these historical allotments and describes a method to automatically generate spatial data of allotments. A custom geographic information systems (GIS) tool was created that takes tabular based allotment land descriptions and digital Public Land Survey (PLSS) databases to automatically generate spatial and attribute data of those land parcels. The Standing Rock Sioux Tribe of North and South Dakota was used as the initial study area to test the mapping technique, which resulted in successfully auto-mapping over 99.1% of allotted lands on the reservation, including the smallest aliquot parcels. This GIS technique can be used to map any tribal lands or reservation with allotment data available, and currently it can be used to map over 120 individual reservations using publicly available data from the Bureau of Land Management (BLM).

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