Change Detection in Land Surface Temperature Pattern of COVID-19 using Satellite Image Analysis in Kuala Lumpur, Malaysia

COVID-19 is a serious disease and global issue that affects the economy, society, the environment and health. Climate change has impacted the temperature (LST). By the end of January 2020, Malaysia had recorded its first confirmed cases of COVID-19. As a preventative measure against the rapid spread of COVID-19 in Malaysia, the government has advised the general public to stay inside and to keep their physical contact with others to a minimum at distances of at least one metre. Additionally, residents have been urged to stay away from public gatherings. COVID-19 has had a tremendous impact on Kuala Lumpur, a state that is both popular with tourists, investors and a hub for students. Due to widespread calls for people to stay home instead of traveling, several tourist hotspots, educational facilities, and commercial enterprises have been hit hard. In Malaysia, the lockdown policy known as Movement Control Order (MCO) has been implemented phase-by-phase to stop the spread of COVID-19. This study aimed to investigate whether the COVID-19 epidemic has changed the average temperature of Earth's land as a result of the epidemic. Variations detected in LST before, during, and after a pandemic have been visualised using data from the Landsat 8 satellite image. It was discovered that the LST dropped at the beginning of the COVID-19 pandemic, when people were less likely to spend time outdoors. As a result of the newly enacted norm, the LST was raised

The Trend Distribution and Temporal Pattern Analysis of COVID-19 Pandemic using GIS framework in Malaysia

Currently, the most severe infectious disease was the new coronavirus disease (COVID-19) in all countries in 2019 and 2020. At the end of December 2019, in Wuhan, China, there was an international cluster of cases involving Novel Coronavirus pneumonia (SARS-COV-2). The worldwide number of active cases and deaths is rising, especially in the top countries such as the United States (U.S), Brazil, and India. In Malaysia, these cases of COVID-19 have significantly decreased the number of active infections and deaths in May and June 2020. COVID-19 has had a significant effect on human life, socio-economic growth, and public relation. It is aimed at senior groups and individuals with various health conditions such as cancer, respiratory problems, diabetes, hypertension, and heart-related issues. The World Health Organization (WHO) has formally declared COVID-19 as an international emergency case. As a result, Kuala Lumpur was the most affected state in Malaysia as of 12 July 2020, followed by Selangor, Negeri Sembilan, and Johor. Regardless of the infection chain ratio, the favorable cases in each affected state of Malaysia are rising every day. The Malaysian Government attempted to split the infection chain ratio affected by COVID-19 via the lockdown definition. The research aims to use GIS software to analyze COVID-19's spatial trend distribution and temporal pattern analysis for human health. Geographic information systems (GIS) technologies have played a significant role in spatial information, spatial tracking of confirmed cases, active case, death, and discharge cases, and predicting the magnitude of the spread. Monitoring, evaluating, and planning using geospatial analysis are essential for controlling the spread of COVID-19 within the country

Penilaian kebolehupayaan pejalan kaki di Tapak Warisan Dunia UNESCO: kajian kes di George Town, Pulau Pinang

Kebolehupayaan pejalan kaki merupakan salah satu elemen kelestarian yang dapat memberikan pelbagai manfaat termasuk kesihatan, ekonomi dan perancangan bandar. Di Malaysia, elemen ini adalah baru dan terhad di kawasan bandar metropolitan yang maju seperti Bandaraya Kuala Lumpur, Bandaraya Johor Bahru dan Bandaraya George Town. Kini, kebolehupayaan pejalan kaki dijadikan sebagai mod pengangkutan aktif yang lestari. Tujuan kajian ini dijalankan adalah untuk mengukur dan menilai tahap indeks kebolehupayaan pejalan kaki yang dijalankan di tapak warisan dunia George Town, Pulau Pinang. Antara indikator dan data guna tanah yang digunakan adalah indeks campuran guna tanah (entropi), indeks perhubungan dan indeks nisbah bersih perniagaan (tanah komersial). Indikator ini dianalisis, dinilai dan diintergrasikan dengan aplikasi Sistem Maklumat Geografi untuk penghasilan peta indeks kebolehupayaan pejalan kaki. Bagi mendapatkan penilaian indeks kebolehupayaan pejalan kaki yang jitu, kaedah pengesahan di lapangan dijalankan dengan kaedah temubual di setiap lokasi tertentu. Hasil dapatan kajian ini mendapati kawasan kajian mempunyai skor tahap kebolehupayaan pejalan kaki yang tinggi, memudahkan pengguna ke sesuatu destinasi dan menjadikan aktiviti berjalan kaki sebagai mod pengangkutan yang lestari. Kesimpulannya, kebolehupayaan pejalan kaki yang baik dapat mengurangkan kesesakan lalu lintas dan meningkatkan aktiviti pelancongan sedia ada

Spatial Pattern and Hotspots of Urban Rail Public Transport to Public Access Using Geospatial Techniques in Selangor, Malaysia

Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations

The Development and Distribution Pattern of Railway Network for Urban Public Transport Using GIS from 1990 Until 2019 in The Klang Valley and Kuala Lumpur, Malaysia

The development and distribution pattern of the railway network has significantly increased in urban public transport with the current situation to move fast towards the fourth industrial revolution (4IR). In Malaysia, the problem issues are related to traffic congestion and many user cars on the roadway in daily lives. One alternative mode of using a rail network is commuter, LRT, Monorail, MRT and ETS. Therefore, the Geographic Information System (GIS) technology is then used to map and produce the railway networks history and developments in urban public transportation (UPT). The goal of this research is to identify the heatmap trends of the Klang Valley railway stations which included Kuala Lumpur as urban public transport sectors. It was based on the OSM image layer from the year 1990 to 2019 and studied the growth of railway networks through a polyline pattern analysis. The results are Kuala Lumpur and Klang Valley more advanced and dominant places in the event of rail and variation patterns in the year 1995 until 2019. The final result is that heatmaps of railway stations in Klang Valley and Selangor help determine and visualize the user’s attractive railway as the main public transport in daily routine and urban areas expand