Resource Mapping Research Articles

An examination of the performance efficiency among dementia community support coordinators in Akita Prefecture

To consider what is necessary to ensure the efficient performance of dementia community support coordinators. In Akita Prefecture, we conducted a simple questionnaire survey of dementia community support coordinators in 25 municipalities to clarify the current status of their activities and examine what needs to be done to develop their projects more efficiently. It became clear that residents were not aware of the existence of these coordinators, underscoring the need to publicize their existence and activities. The lack of tools to improve the public's understanding of social resources for sharing information on building a support system was also demonstrated. In terms of cooperation, it was found that, despite the establishment of cooperation with IPIST and the medical center for dementia, cooperation with dementia support coordinators was insufficient. Furthermore, we confirmed that support coordinators were not very involved in the creation and activities of dementia care paths. Based on the above findings, we propose five points to support further efficient development. 1. Disseminate information to inform local residents about dementia community support coordinators, 2. Collaborate with dementia support coordinators and the welfare commissioner, 3. Create social resource maps and facilitate their understanding and establish dementia care path activities, 4. Create a work environment where dementia community support coordinators do not have to work concurrently, and 5. Create learning opportunities to improve understanding of the overall dementia policy.

Local Heritage in Contemporary Times: Artistic Creation and the Intangibilities of Place

ABSTRACT This article shares collaborative scientific work done by researchers from the Centre for Social Studies (University of Coimbra, Portugal) and from the Technology, Restoration and Arts Enhancement Center (Polytechnical Institute of Tomar, Portugal) within the REDE ARTÉRIA in cooperation with MOVTOUR. REDE ARTÉRIA is an action research project that aims to create cultural presentations and performances to tour the Centro Region of Portugal. It aspires to encourage a greater professionalization of agents, while aiming to enrich and enhance the cultural offering. Simultaneously, it intends to stimulate a community practice of participatory cultural mapping influencing creation processes and cultural policies in this region. The analysis is made in the specific context of the artistic creation VAGAR, conceived by the Portuguese choreographer Marina Nabais and co-produced by the Municipality of Ourém (Portugal). The analysis results from participatory workshops with local agents, field notes from rehearsal observation, interviews with artists, local participants, local government, and from the final report produced by the dance association responsible for the performance. This work critically reflects on how processes of community participation and of tangible and intangible resource mapping – by providing dialogue opportunities between artists, local agents, municipalities and the local cultural fabric – can develop innovative projects of artistic intervention that link heritage to local, social and cultural civic dynamics. It thus epitomizes the importance of the social dimension of cultural activity.

Geomorphological Analysis of Ayad River Basin, Udaipur (India) using Remote Sensing and GIS Techniques

Geomorphological analysis is useful for managing land resources and aid in resource inventory, mapping, and management for a variety of purposes. The science of geomorphology is now better able to comprehend surface dynamics because to recent improvements in remote sensing and GIS, the availability of satellite-based DEM, and improvements in mathematical modelling skills. The study is emphasis on utilization of secondary data which have been compiled from different sources e.g. SOI, USGS, NBSS&LUP, GSI. LULC, drainage, river-lake link, soil, geology, landform, geomorphology have been analyzed based on satellite imagery, DEM, toposheet, and other secondary data. Dendritic and sub-dendritic drainage pattern is common in Ayad basin and drainage density is ranging between 0.46 and 3.45 (Km/Km2). Eight artificial lakes are linked together in a chain in the saucer-shaped valley, which is the first historic river linking project in India. Lithology ranging in age from Archaean to Upper Proterozoic are present and belong to three geological cycles - Bhilwara, Aravalli, and Delhi supergroups. Landforms of the area are mainly lower-flat, and ridge cover only 13% of the area. A very detailed geomorphological map has developed by visual image interpretation of satellite imagery, DEM data, toposheets, geological map and classified in 13 broad geomorphic units, and 63 micro-geomorphic units. Through the percentage hypsometric curve method, the hypsometric integral is 27% which indicates the old stage of the basin.

Diversification of tourism through cultural routes in Manglaralto county, in the province of Santa Elena

<p>The work was carried out in the Manglaralto parish in the province of Santa Elena, with the objective of generating new cultural tourism routes within the framework of sustainability and diversification of Santa Elena’s offer, as an alternative to complement the positioning of sun and beach tourism affected by the COVID-19 pandemic. The methodology implemented is based on the georeferencing and mapping of resources throughout the parish, supported by the ArcGis program, and then ranking them by applying the nine evaluation criteria established by the Ministry of Tourism of Ecuador. As a result, 163 attractions were evaluated, which were used to propose the design of three cultural tourism routes, proposals that were socialized with local authorities, the Manglaralto Parish Government, the Santa Elena Municipal Tourism Company and Tourism Management and Promotion Office in the province.</p><p> </p>

Spatial Structure and Development of Tourism Resources Based on Point Pattern Analysis: A Case Study in Hainan Island, China

Tourism resources are the basic materials of tourism development, and they also provide the support for regional tourism spatial competition. The development of tourism depends on the degree to which tourism resources are utilized, and it is of great guiding significance for their development and utilization to study their spatial structure. Based on a large sample of data on tourism resources, and starting from the characteristics of multi-type, multi-level and multi-combination, this paper puts forward a framework and method for analyzing the spatial structure of tourism resources. Taking Hainan Island as an example, this paper describes the spatial structure of tourism resources in Hainan Island by using the method of point pattern analysis, identifies the tourism resource development zones, and puts forward some suggestions for the development of tourism resources. The results are as follows: (1) The characteristic scale of the spatial structure of tourism resources in Hainan Island is 30.5 km, and there are significant differences in the distributions of all kinds of tourism resources. (2) Through the spatial structure map of tourism resources, the tourism resource development zones are identified, including three tourist central city levels, “one horizontal and three vertical” tourist belts and four tourist combination areas. (3) By combing the distribution of tourism resources and the development zones in Hainan Island, the cross-border characteristics of the tourism resources and development zones are obvious. In order to give full play to the spatial combination and superposition effect of tourism resources, a change from a single isolated development mode to the overall combined development between regions is suggested. On the provincial scale, it is relatively accurate to describe the spatial structure of tourism resources for point data with a large sample size. However, the method of point pattern analysis can not only accurately describe the spatial structure of tourism resources, but it can also provide reference for other types of regional spatial analyses. The research results provide a scientific basis for the spatial planning of regional tourism resources and have practical significance for the development of regional tourism.

Type, density, and healthiness of food-outlets in a university foodscape: a geographical mapping and characterisation of food resources in a Ghanaian university campus

IntroductionFood environments are viewed as the interface where individuals interact with the wider food system to procure and/or consume food. Institutional food environment characteristics have been associated with health outcomes including obesity and nutrition-related non-communicable diseases (NR-NCDs) in studies from high-income countries. The objectives of this study were (1) to map and characterise the food-outlets within a Ghanaian university campus; and (2) to assess the healthiness of the food outlets.MethodsData collection was undertaken based on geospatial open-source technologies and the collaborative mapping platform OpenStreetMap using a systematic approach involving three phases: remote mapping, ground-truthing, and food-outlet survey. Spatial analyses were performed using Quantum Geographical Information System (QGIS) and comprised kernel density, buffer, and average nearest neighbour analyses to assess outlet distribution, density, and proximity. A classification system was developed to assess the healthiness of food-outlets within the University foodscape.ResultsFood-outlets were unevenly distributed over the University foodscape, with many outlets clustered closer to student residencies. Informal food-outlets were the most frequent food-outlet type. Compared to NCD-healthy food-outlets, NCD-unhealthy food-outlets dominated the foodscape (50.7% vs 39.9%) with 9.4% being NCD-intermediate, suggesting a less-healthy university foodscape. More NCD-unhealthy food outlets than NCD-healthy food outlets clustered around student residences. This difference was statistically significant for food outlets within a 100-m buffer (p < 0.001) of student residence and those within 100 and 500 m from departmental buildings/lecture halls (at 5% level of significance).ConclusionFurther action, including research to ascertain how the features of the University’s food environment have or are influencing students’ dietary behaviours are needed to inform interventions aimed at creating healthier foodscapes in the study University and other campuses and to lead the way towards the creation of healthy food environments at the home, work, and community levels.

H/A/α Polarimetric Decomposition Of Dual Polarized Alos Palsar For Efficient Land Feature Detection And Biomass Estimation Over Tropical Deciduous Forest

Information regarding land use and land cover is an important for formulating decision making for land information system. The easiest and most effective way to gather such information is via using Earth observation remote sensing satellites supported by ground data. Synthetic Aperture Radar (SAR), due to its additional unique intrinsic characteristics is favoured over the optical systems for procuring land information. An innovative and effective technique for land feature detection is the use of polarimetric capabilities of SAR. Generally applicable for quad polarized data, this study investigates the polarimetric capabilities of a dual polarized data obtained from ALOS PALSAR, which is not a general notion. The approach applied in the study shows accurate results for detection of land features using polarimetric decomposition of dual polarized ALOS PALSAR data over an area of Munger in the state of Bihar, India. Twelve distinct land cover features are identified in the study area using this approach. The polarimetric products are also investigated for deriving the biomass information for the vegetation cover in the study area. The relation between in-situ biomass generated from floral species-specific volumetric equations and SAR polarimetric products showed a moderate correlation of 0.56 with RMSE=29.13 t/ha and data agreement of 0.62 based on exponential regression model for predicting biomass. The decomposition parameters revealed more evidences for forest structure and feature identification rather than biomass information. The method adopted in the study can be well utilized for land resource information and mapping; hence, natural and man-made resource monitoring and management.

A combined computing framework for load balancing in multi-tenant cloud eco-system

&lt;span&gt;Since the world is getting digitalized, cloud computing has become a core part of it. Massive data on a daily basis is processed, stored, and transferred over the internet. Cloud computing has become quite popular because of its superlative quality and enhanced capability to improvise data management, offering better computing resources and data to its user bases (UBs). However, there are many issues in the existing cloud traffic management approaches and how to manage data during service execution. The study introduces two distinct research models: data center virtualization framework under multi-tenant cloud-ecosystem (DCVF-MT) and collaborative workflow of multi-tenant load balancing (CW-MTLB) with analytical research modeling. The sequence of execution flow considers a set of algorithms for both models that address the core problem of load balancing and resource allocation in the cloud computing (CC) ecosystem. The research outcome illustrates that DCVF-MT, outperforms the one-to-one approach by approximately 24.778% performance improvement in traffic scheduling. It also yields a 40.33% performance improvement in managing cloudlet handling time. Moreover, it attains an overall 8.5133% performance improvement in resource cost optimization, which is significant to ensure the adaptability of the frameworks into futuristic cloud applications where adequate virtualization and resource mapping will be required.&lt;/span&gt;

Health Security Planning: Developing the Cameroon National Action Plan for Health Security.

The health security planning process transforms recommendations from various evaluations into priority actions to strengthen countries' capacity for emergency preparedness using the One Health approach. Although the World Health Organization (WHO) has developed many tools to facilitate the planning process of a National Action Plan for Health Security (NAPHS) across the various components, a series of multisectoral workshops is still needed to complete the process. In this article, we report on the process of developing Cameroon's NAPHS and propose an innovative solution to improve the process. The NAPHS development process was conducted from May to December 2018. The WHO NAPHS framework, adapted to the local context, guided the process. The WHO planning matrix was used to plan activities and the WHO NAPHS costing tool was used to facilitate the costing exercise. A total of 84 Joint External Evaluation recommendations were translated into activities included in Cameroon's NAPHS. Among these activities, the majority (56%) were of medium priority. The total cost of a 5-year NAPHS was US$87,668,356, with almost half (49%) of the budget allocated to activities in the "Prevent" category and more than a third (35%) allocated to the "Detect" category. The top 3 cost drivers were immunization (22%), the national laboratory system (21%), and antimicrobial resistance (16%). The NAPHS informed policymakers of planned activities and funding needs to fast-track the development of health security capacities. Running gaps in funding will be addressed during a resource mapping exercise. To improve the overall planning process, a web-based support solution, where stakeholders select from a menu of recommendations from the Joint External Evaluation to develop a NAPHS, should be developed to improve the NAPHS development process.

Agroforestry potential of Kanchanpur District, Nepal using remote sensing and Geographic Information System

Abstract. Subedi PB, Mahara S, Paudel S , Bhandari J, Thagunna RS. 2023. Agroforestry potential of Kanchanpur District, Nepal using remote sensing and Geographic Information System. Asian J Agric 7: 65-74. Researchers are interested in agroforestry because it can reduce poverty and land degradation, mitigate climate change, and improve food security. This study aimed to determine the land potential for agroforestry in Kanchanpur District, Nepal, using Geographic Information System modeling concepts and a variety of ancillary (soil fertility) and satellite data (Digital Elevation Model, wetness, Normalized Difference Vegetation Index, and Land Use Land Cover) sets. It was accomplished by logically integrating various thematic layers in the GIS domain. For Kanchanpur District of Nepal's Sudurpaschim Province, agroforestry suitability maps showed that 76.14 percent was very high suitable, 3.12 percent was highly suitable, 13.89 percent was medium, 5.67 percent was low suitable, and 1.15 percent was very low suitable. The use of remote sensing and GIS to find suitable land for agroforestry have significant impacts, which will significantly aid in the study of agroforestry practices and the estimation of crucial factors for optimal productivity. Such analyses and results will undoubtedly assist agroforestry policymakers, and planners put it into practice and expanding in new areas. GIS modeling has enormous potential for land resource mapping, eventually contributing to the benefit of poor rural people, especially farmers, and helping ensure food and environmental security and a sustainable livelihood.

A geomorphological study of Auranga river basin, Jharkhand using geospatial techniques

The geomorphological setting defines a condition that influences landform development and morphological and structural characteristics of landforms. They are useful for land use planning, hazard mapping, and natural resource and environmental management. The present study is an investigation of the geomorphological characteristics of the Auranga river basin located in Jharkhand using a geospatial approach. The lineaments are extracted using ASTER DEM data and statistically analyzed to determine length, orientation, etc. Geomorphological units are identified and mapped using remote sensing data and GIS software. Slope and relief maps are prepared for a detailed understanding. It is observed that the maximum area of the basin is under the pediment pediplain complex (1075 sq. km) whereas the least expanded geomorphological unit is anthropogenic terrain (1.02 sq. km). The lineament analysis indicates major orientation and structural trends mainly in the NE-SW direction and zones of high lineament density are potential for groundwater prospecting in the basin. The result thus reveals the geomorphological setting of the Auranga river basin, hence proving the efficiency of the use of geospatial techniques for geomorphological studies.

A planetary health-organ system map to integrate climate change and health content into medical curricula.

A planetary health-organ system map to integrate climate change and health content into medical curricula.

Attitude, Ethics, and Communication module for medical undergraduates: rapid transition to online mode of teaching during the COVID-19 pandemic

Introduction: Imparting skills related to attitudes, ethics and communication (AETCOM) is as important as psychomotor and cognitive skills in medical education. During the COVID-19 pandemic with the physical shut-down of medical colleges, alternatives to in-person teaching of AETCOM competencies were explored. Here we describe our experience of conducting online AETCOM sessions for medical undergraduates. Methodology: An online teaching/learning schedule was developed for the topic “working in a health care team” for AETCOM sessions in the Community Medicine department in a medical college in North India. A series of brainstorming sessions among departmental faculty members were followed by mapping of available resources. Postgraduate students of the department were involved as facilitators. Feedback from students was obtained. Results: The developed schedule was implemented with 169 students of the phase II undergraduate course. The schedule was based on synchronous sharing of open source online videos such as movies, or role plays followed by small group discussion sessions which were facilitated by a teacher. Narrative writing, a short-answer type questionnaire, followed by another round of discussion was used to promote critical thinking. The students mentioned the selected videos, the structure of the online questionnaire for submission of narratives and discussion sessions which were participatory and voluntary in nature helped them to understand the scheduled topic. Conclusion: Carefully developed structured strategies based on triggers such as videos can serve as a possible alternative to teach AETCOM competencies in case of shutdown of in person teaching in medical colleges.

Mapping of clinical management resources for snakebites and other animal envenomings in the Brazilian Amazon.

Snakebite envenomings (SBEs) and other envenomings triggered by venomous animals (VAEs) represent a significant disease burden in Brazil, with 29,152 SBEs reported in 2021 alone with nearly half of those occurring in the remote Brazilian Amazon. In 2021, Brazil recorded 240,294 envenomings from snakes, scorpions, spiders, and caterpillars. Therefore, there is an unequal distribution of SBEs with high morbidity and mortality in the Brazilian Amazon. The severity of SBEs increases when patients require more than 6 h to access antivenom treatment, a common issue for the rural and indigenous populations. Understanding currently available resources and practices in Amazon remote areas of Brazil can serve to inform future interventions and guide health care policies. This study aims to develop a resource map of existing healthcare resources for the Brazilian Amazon's clinical management of VAEs with emphasis in SBEs, which will aid future strategic interventions. Data collection included a literature review, secondary data collected by government departments and organizational records, GIS mapping activities, and expert input. Our framework was guided by the three levels of healthcare service ecosystem analysis (macro, meso, and micro). Our resource map lays out a comprehensive overview of antivenom access, the distribution landscape, differences in patient transportation, and barriers to access healthcare that face populations in the Brazilian Amazon.

APPLICATION OF PARTICIPATORY LAND USE PLANNING TOOL IN SOME COMMUNITY DEVELOPMENT AREAS OF JIGAWA STATE, NIGERIA

Participatory land use planning was conducted with the aim to develop community natural resources maps in some selected community development areas (CDA) for sustainable land use planning and problem prioritization for intervention in Jigawa State. Mapping of the community natural resources was conducted in six selected communities in two local government areas: Auyo LGA (Auyokayi, Ayan and Gamafoi), Dutse LGA (Dagwaje, Gandun Fawa and Kwadiya). The six CDAs were sketched, delineated and mapped participatorily, thereafter, problems of each of the CDAs were listed and ranked. The results obtained indicated that, land use types identified were rain-fed/upland, Fadama/ lowland, Sand-dunes areas and others. Farmlands are the major land use types in the study area, major prioritized problems by the farmers were poor irrigation facilities, low soil fertility, poor access roads and, inadequate water for domestic use.

The use of remote sensing and GIS for land use and land cover mapping in Eswatini: A Review

Remote sensing and GIS are often used to assess spatiotemporal variations for land use/land cover (LULC) monitoring and classification. While LULC monitoring and classification has been undertaken in Eswatini, little attention has been given to ascertaining covered thematic areas, methods of image classification, and approaches and techniques for improving classification accuracy. This paper summarises and synthesizes the progress made in the Kingdom of Eswatini regarding the application of remote sensing and GIS in LULC monitoring and classification. Eight thematic areas (water resources mapping; land degradation; forestry; wildfire detection; urban expansion; crop production; disease surveillance; general mapping) dominate evaluated LULC studies, employing three LULC classification methods (classic; manual; advanced). While some studies include strengths and weaknesses of LULC classification techniques applied, others do not. This review shows that only two advanced classifiers (random forest; object-based) were identified from the reviewed articles. In addition, reviewed studies applied only two approaches (use of multi temporal data; fine spatial resolution data) and three techniques (use of ancillary data; post-classification procedure; the use of multisource data) for improving classification accuracy. Furthermore, the review finds that limited LULC investigations have been covered in Eswatini with a specific focus on the Sustainable Development Goals (SDGs). As such, this review recommends 1) the inclusion of higher resolution imagery for mapping purposes, 2) the adaptation of strengths and weaknesses for any image classification technique employed in future publications, 3) the use of more varied approaches and techniques for improving classification accuracy and area estimates, 4) inclusion of standard errors or confidence intervals for error-adjusted area estimates as part of accuracy assessment reporting, 5) the application of advanced image classifiers, and 6) the application of Earth Observation (EO) Analysis Ready Data (ARD) in the production of information for the support of the SDGs.

Connecting food supply chains

Connecting food supply chains

Potential of Community Resources in Empowerment Blocks and Special Region in AwotaProduction Forest Management Units in Supporting Social Forestry Activities: A Case Study in Indonesia

A Forest Management Unit (FMU) is a forest management area in accordance with its main functions and designations that can be managed efficiently and sustainably, as mandated in Law no. 41 of 1999 on forestry. The existence of communities in forest areas with all the potential resources that have been owned and managed so far will certainly have implications for forest management activities in the field. This paper aims to provide information about the potential resources owned by farming communities in empowerment blocks and certain areas in the KPHP Awota Model area in Wajo Regency, South Sulawesi Province. The research was conducted in September 2016 - January 2017. Data collection was carried out through Observation, Resources Mapping, Indepth Interview, Focus Group Discussion (FGD), and documentation studies with groups of farming communities in and around forest areas in empowerment blocks or certain regional blocks. The results showed that the potential resources of the farming community in the empowerment block and certain areas include land resources, human resources, financial resources (farmers' capital resources), and norms or farmer institutional resources. Based on this potential: KPHP Model Awota as forest manager at the site level can collaborate with the community through a social forestry scheme with a partnership pattern in empowerment blocks and certain areas.

Measured Catch Blue swimming crab (Portunus pelagicus) Based on the Walter-Hilbron Non-Equilibrium Model) Bangkalan Madura Waters

Blue swimming crab (Portunus pelagicus) as an export product relies mostly on catches, one of which is in Fishery Management Area 712, where this research was carried out. The frequency of fishing efforts continues to increase because of its high economic value; however, there is not much information about the resource as a basis for following up on Law Number 45 of 2009 concerning measurable fish catches based on control output. Descriptive research method with the aim of mapping crab resources based on the "Walter-Hilbron Non- Equilibrium Model" The results showed that the maximum catch production (CMSY) was 63,886.114 kg/year with standard Trammel net fishing gear, intrinsic growth was 50.91%/year, the carrying capacity of the waters was 50195,336 Kg/year, dominant species was Portunus pelagicus, Optimum effort (Eopt) 6363750 trip/year with a resource potential of 25097.668 kg/year. This information forms the basis for resource mapping in order to increase inclusive and sustainable economic growth.

The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products.

Grasslands are the most dominant terrestrial ecosystem in China, but few national grassland maps have been generated. The grassland resource map produced in the 1980s is widely used as background data, but it has not been updated for almost 40 years. Therefore, a reliable map depicting the current spatial distribution of grasslands across the country is urgently needed. In this study, we evaluated the grassland consistency and accuracy of ten land cover datasets (GLC2000, GlobCover, CCI-LC, MCD12Q1, CLUD, GlobeLand30, GLC-FCS30, CGLS-LC100, CLCD, and FROM-GLC) for 2000, 2010, and 2020 based on extensive fieldwork. We concluded that the area of these ten grassland products ranges from 107.80×104 to 332.46×104 km2, with CLCD and MCD12Q1 having the highest area consistency. The spatial and sample consistency is highest in the regions of east-central Inner Mongolia, the Qinghai-Tibet Plateau and northern Xinjiang, while the distribution of southern grasslands is scattered and differs considerably among the ten products. MCD12Q1 is significantly more accurate than the other nine products, with an overall accuracy (OA) reaching 77.51% and a kappa coefficient of 0.51; CLCD is slightly less accurate than MCD12Q1 (OA=73.02%, kappa coefficient=0.45) and is more conducive to the fine monitoring and management of grassland because of its 30-meter resolution. The highest accuracy of grassland was found in the Inner Mongolia-Ningxia region and Qinghai-Tibet Plateau, while the accuracy was worst in the southeastern region. In the future grassland mapping, cartographers should improve the accuracy of the grassland distribution in South China and regions where grassland is confused with forest, cropland and bare land. We specify the availability of valuable data in existing land cover datasets for China's grasslands and call for researchers and the government to actively produce a new generation of grassland maps.