This github repo deposits the web-based interactive map visualization videos to demontrate the original client interview assignment based on zip code by the Salvation Army and the improved client interview assignment based on address by the ASU Knowledge Exchange for Resilience research team.

Zhao, Q., Dickson, C., Thornton, J., Solís, P., & Wentz, E. A. (2020). Articulating strategies to address heat resilience using spatial optimization and temporal analysis of utility assistance data of the Salvation Army Metro Phoenix. Applied Geography, 122, 102241. https://doi.org/10.1016/j.apgeog.2020.102241

This web-based interactive map visualization development is part of the the ASU Knowledge Exchange for Resilience project and is supported by Virginia G. Piper Charitable Trust. Piper Trust supports organizations that enrich health, well-being, and opportunity for the people of Maricopa County, Arizona. The conclusions, views and opinions expressed in this manuscript are those of the authors and do not necessarily reflect the official policy or position of the Virginia G. Piper Charitable Trust nor of the Salvation Army. Dr. Qunshan Zhao has received UK ESRC's on-going support for the Urban Big Data Centre (UBDC) [ES/L011921/1 and ES/S007105/1].

The authors would like to thank the operational team from the Salvation Army Metro Phoenix (Major Barbara Sloan, Mr. Jowan Thornton, and Ms. Michele Kirkpatrick) for providing internal data sharing and communication. The authors also would like to thank Dr. Ziqi Li and Mr. Sam Golla for data analysis support, the ASU Decision Theater Network team (Dr. Srivatsav Kandala, Mr. Vikash Bajaj, Dr. Fangwu Wei, and Dr. Margaret Hinrichs) for visualization support, and Dr. Chuyuan Wang and Dr. Wei Luo for reviewing an early version of this article and providing useful comments. We would also want to thank the anonymous reviewers for their insightful comments and suggestions on an earlier version of this manuscript.