BIOGRAPHY VISUALIZATION OF SULTAN THAHA SAIFUDDIN BASED ON ARCGIS STORY MAPS IN JAMBI PROVINCE

The introduction of new technologies for historical studies presents an opportunity to make historical studies more accessible to the public. The ArcGIS platform has facilitated this effort and offers interesting ways to do this, including the Story Map program. Part of the cloud-based online ArcGIS platform, the story map application enables the integration of narratives, images, and maps in an easy-to-use format. This paper tries to apply this technology in the theme of Visualization of Biography of Sultan Thaha Saifuddin Based on ArcGIS Story Map in Jambi Province. Many similar writings discuss the biography of Sultan Thaha Saifuddin with a historical approach but do not look at it from a spatial perspective. The focus of historical research only focuses on events and periodization. Therefore, this article describes the biography of Sultan Thaha Saifuddin so that other historians can also apply this technology to their work.

Flood Risk Communication Using ArcGIS StoryMaps

In Canada, flooding is the most common and costly natural hazard. Flooding events significantly impact communities, damage infrastructures and threaten public security. Communication, as part of a flood risk management strategy, is an essential means of countering these threats. It is therefore important to develop new and innovative tools to communicate the flood risk with citizens. From this perspective, the use of story maps can be very effectively implemented for a broad audience, particularly to stakeholders. This paper details how an interactive web-based story map was set up to communicate current and future flood risks in the Petite-Nation River watershed, Quebec (Canada). This web technology application combines informative texts and interactive maps on current and future flood risks in the Petite-Nation River watershed. Flood risk and climate maps were generated using the GARI tool, implemented using a geographic information system (GIS) supported by ArcGIS Online (Esri). Three climate change scenarios developed by the Hydroclimatic Atlas of Southern Quebec were used to visualize potential future impacts. This study concluded that our story map is an efficient flood hazard communication tool. The assets of this interactive web mapping tool are numerous, namely user-friendly mapping, use and interaction, and customizable displays.

Experience in MAPATÓN 2021: "ApuMayu" a Tool for the Analysis of Flood Risk Zones in Piura

Abstract—MAPATÓN 2021 was organized by CONIDA (Peruvian Space Agency) as part of the celebrations for the bicentennial of Peru's independence. MAPATÓN was oriented to disaster management. This work aims to transmit the experience of participation in MAPATON and communicate the results achieved. The authors participated in developing flood simulation models and analyzing SENTINEL-1 satellite images to identify areas affected by floods that occurred in 2017, 2019 and 2020. The results obtained, shown in a story map, show the great utility of this type of analysis for risk management and disaster management. Keywords—MAPATON 2021; natural disasters; Peru; disaster management; Sentinel; satellite images

Use of Mobile Social Story Maps in the Development of Cognitive and Social Skills of Children With Autism Spectrum Disorder

The purpose of the study was to compare the effectiveness and efficiency of animated and non-animated mobile social story maps using the mobile learning environment that the authors developed. An application using the story map method based on social stories was developed. Mobile social story map was presented with animated and non-animated narrative and the effectiveness and efficiencies of the two methods on both listening comprehension and social communication skills were compared using an alternating treatments design. The participants of the study consisted of three children aged between 6 and 7 years with an ASD diagnosis. Research findings showed that mobile social story maps contribute to the development of social communication skills and listening comprehension skills of participants with an ASD. The results indicated that two methods were equally effective in improving social communication skills, but in improving listening comprehension skills, animated supported stories were more effective for one of the three participants. Also, animated narrative-supported mobile social story maps were more efficient for two participants.

Understanding the Barriers and Facilitators of Lidar Adoption for Flood Risk Management in the Pacific Northwest, U.S.

The understanding of factors that influence technology adoption in emergency planners is foundational for ensuring resilient communities to hazards in the future. We explore these factors through an interdisciplinary, social-ecological science lens. In this thesis, we use cultural evolutionary theory to understand the facilitators and barriers of Light Detection and Ranging (lidar) adoption in flood risk management, as a case study of technology adoption for long-term risk mitigation. We then disseminate our findings through three educational outlets: a webinar, a white paper (Appendix A), and a Story Map. This thesis contributes to our intellectual understanding of technology adoption, as well as provides information to minimize barriers to lidar uptake in Idaho. In the first chapter of the thesis, we used a mixed-methods empirical study to measure the facilitators of lidar adoption as a risk mitigation tactic in Idaho, Oregon, and Washington. Previous studies disproportionately focused on individual predictors of risk mitigation behavior such as risk perception, without identifying the contextual and collective drivers of risk mitigation behavior. We address this gap by examining both the individual (e.g., direct experience, risk-taking attitude, risk perception) and collective predictors (e.g., peer influence, network expertise) of lidar adoption regionally. We found that peer influence, or the proportion of lidar users in a respondent’s social network, network strength, network expertise, and risk perception significantly increase the likelihood of an individual to adopt lidar. The findings of this chapter contribute tounderstanding the role of collective predictors in long-term risk mitigation behavior and provide a foundational basis for future disaster research. In the second chapter of the thesis, we developed three educational outreach products with varying audience and intention in mind. These products addressed barriers identified in our semi-structured interviews and survey instrument from our mixed-methods empirical study discussed in Chapter One. The first product was a webinar that was attended by 65 flood risk managers and included a panel of cross-sector participants. The second product was a white paper, intended for the Idaho Geospatial Council-Executive Committee and Elevation Technical Working Group. With input from these groups, the product will eventually be used to ask for a lidar liaison position and lidar acquisition budget for Idaho. The Story Map accompanies the white paper and provides detailed account of various lidar applications throughout Idaho. The Story Map showcases content from 10 different lidar stakeholders. Both the white paper and Story Map exist in digital formats that are easily shareable and are considered living documents that can be updated as needed. The overarching goal of this thesis was to understand the facilitators and barriers of lidar adoption and increase uptake of lidar adoption in Idaho. Chapter One focuses on intellectual scholarship and is formatted as a manuscript for publication in the Climate Risk Management journal. Chapter Two focuses on applied scholarship with the greater lidar community. Appendix A is the white paper, Appendix B is a copy of the semi-structured interview instrument, and Appendix C is a copy of the survey instrument. Reference sections follow each chapter individually. This project was funded by the U.S. Department of Homeland Security Grant No. EMS-2019-CA-00030

Visualisasi Peta Skematik dan Story Map MRT dan LRT Jakarta

Keberadaan MRT dan LRT Jakarta bertujuan untuk melakukan perubahan pada pola penggunaan transportasi, dari transportasi pribadi menjadi transportasi umum. Berdasarkan data Menteri Perhubungan, hanya 32% warga Jakarta yang sehari-harinya menggunakan transportasi umum. Untuk meningkatkan minat pengguna transportasi umum, maka dibutuhkan informasi yang lengkap mengenai berbagai pilihan akses transportasi. Tujuan kegiatan ini yaitu untuk menampilkan informasi peta jaringan MRT/LRT Jakarta dan peta interaktif story map hasil analisis Transit-Oriented Development (TOD) dan service area pada tiap stasiun sebagai penunjang perencanaan guna mencapai transportasi yang berkelanjutan. Peta jaringan MRT/LRT Jakarta dibuat dengan melakukan proses skematisasi, yaitu mengubah peta konvensional menjadi peta skematik yang umumnya digambar lurus dengan sudut tertentu dan banyak digunakan dalam sistem transportasi kota. Peta interaktif story map dibuat melalui platform ESRI Story Map. Visualisasi analisis indeks TOD pada stasiun MRT Jakarta menggunakan hasil perhitungan yang sudah dilakukan oleh Siburian (2020), sedangkan visualisasi analisis indeks TOD pada stasiun LRT Jakarta merupakan hasil perhitungan yang diolah oleh penulis. Nilai indeks TOD dihitung berdasarkan metode Singh (2015) dengan 8 parameter. Hasil perhitungan menunjukkan bahwa dua stasiun memiliki indeks level tinggi, tiga stasiun dengan level sedang, dan satu stasiun tergolong memiliki level TOD rendah. Kegiatan ini menghasilkan sebuah website yang tersusun atas dua halaman yaitu halaman beranda dan halaman peta. Halaman beranda berisi informasi umum seperti sejarah, tarif, dan waktu perjalanan kereta. Sedangkan halaman peta merupakan halaman inti dari website yang disajikan dalam bentuk peta statik skematik dan peta interaktif story map. Data spasial terkait titik-titik penting, rute perjalanan, kependudukan, serta penggunaan lahan divisualisasikan pada peta sebagai fitur spasial. Berdasarkan hasil evaluasi dari pengguna, website yang dihasilkan mampu menyajikan informasi dengan tepat, baik, dan mudah untuk operasikan.