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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Settlements have a high cultural and historical value in regions as indicators of human habitation and culture. The Songhua River Basin is on the edge of a traditional cultural center, which has scattered ecological elements, a special culture, and historical faults. Because of the superposition of traces of different ethnic activities in different periods, the Songhua River has a special and diversified cultural foundation and heritage, which is of high research value. However, the ancient settlements in this region have not been given sufficient attention and as a result it is difficult to achieve a complete and systematic study. In order to promote the cultural value of this historical region and the development of a regional and cultural industry, this paper seeks to study the ancient settlements of Songhua River Basin. With the help of GIS technology, archeological excavations, and the concept of ethnic pedigree in ethnology, this study analyzes the temporal–spatial distribution and morphological characteristics of ancient settlements in the Songhua River Basin, in order to determine how the heritage value of these settlements can be sustainably protected.

Details

Title
The Research on Temporal–Spatial Distribution and Morphological Characteristics of Ancient Settlements in the Songhua River Basin
Author
Zhu, Meng 1 ; Dong, Jianfei 2 ; Gao, Yingzhi 2 

 School of architecture, Harbin institute of technology, Harbin 150001, China; Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150006, China 
 Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150006, China 
First page
932
Publication year
2019
Publication date
2019
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2213135187
Copyright
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.