عنوان

Using GIS to Predict Human Movement Patterns in Complex Humanitarian Emergencies: A Test Case of the Syrian Conflict

شماره

TL52493

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Using GIS to Predict Human Movement Patterns in Complex Humanitarian Emergencies: A Test Case of the Syrian Conflict

نام عام مواد

[Thesis]

نام نخستين پديدآور

Campbell, Colleen

نام ساير پديدآوران

Fleming, Steven

نام ناشر، پخش کننده و غيره

University of Southern California

تاریخ نشرو بخش و غیره

2019

متن يادداشت

53 p.

جزئيات پايان نامه و نوع درجه آن

M.S.

کسي که مدرک را اعطا کرده

University of Southern California

امتياز متن

2019

متن يادداشت

There are Complex Humanitarian Emergencies (CHE) happening worldwide. Currently, 68.5 million displaced persons exist around the world resulting from these CHEs. This project seeks to develop an ArcPy script for predicting movements within these crises to help government and non-government agencies manage resources. This project is intended to predict large-scale flows of people to allow agencies to prepare for an influx of displaced persons and organize shelters, food, clothing, medical personnel, and other necessities. ArcPy within ArcGIS Pro will give non-trained users an easy format to view spatially relevant processes and information about the CHE that they may be unable to share with the public. Additionally, this project looks at theoretical models of human movement that are most relevant to the circumstances of the CHE and should help speed communication between GIS and non-GIS professionals. This project uses the Syrian refugee crisis as a test case because of the large-scale movement and long duration involved.

اصطلاح موضوعی

Computer science

مستند نام اشخاص تاييد نشده

Campbell, Colleen

مستند نام اشخاص تاييد نشده

Fleming, Steven

مستند نام تنالگان تاييد نشده

University of Southern California

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y