Application Of Geographic Information System Research Articles

Housing Development and Informal Settlement Prevention Plan of Bungkan City, Thailand

An important challenge to delivering adequate housing solutions in Thailand is associated with management problems that lack an effective mechanism to connect between concerned organizations. It is necessary to equip local stakeholders with housing management capacity under a participatory process. In this project, a housing development plan that included extensive community participation was delivered to Bungkan province which is the most recently established province in Thailand (2011) and as such, still lacked such a plan. The research project, “Housing Development and Informal Settlement Prevention Plan of Bungkan City” was conducted collaboratively by the National Housing Authority of Thailand and Khon Kaen University. The three major research objectives were to: formulate a city housing development plan for Bungkan city; create a participatory process of stakeholders that empowered their capacity through the planning process; and create a mechanism for housing development which connects key agencies from the national level to the local community. The research applied the Ladder of Participation (Arnstein, 1969) as the theoretical framework, with a mixed scale of the ladders including Consultation, Partnership, and Delegated Power. Data gathering and the planning process used a mixed method approach that included geospatial analysis through a Geographic Information System application, in-depth interviews, a questionnaire survey, stakeholder meetings, study trips, workshops, and exhibitions. At the end of project, the research achieved a housing development plan for Bungkan city with a new vision that included 5 strategies, 12 plans, and 46 projects. The research found that the key factor of project success was stakeholder’s inclusion at the beginning stage to the last stage of operation. In particular, the partnership concept in the form of joint committees shaped trustworthy relationships between stakeholders and allowed them to share a sense of ownership.

Geographic intelligence to investigate community participation: a scoping review

Purpose To understand the applicability and unique contributions of global positioning system (GPS) and geographic information system (GIS) technologies to investigate individuals’ participation in the community. Methods A scoping review was conducted to summarize studies that employed GPS and/or GIS to assess community participation. Systematic literature searches were performed using nine electronic databases, up to April 2022. Two independent reviewers screened studies for eligibility and extracted data from the selected studies. Results The searches retrieved 628 articles, of which 36 met the inclusion criteria. In 31 studies, a GPS unit or GPS-enabled device monitored the community mobility of individuals with different health conditions. Tracking periods varied from five hours to 30 consecutive days. The spatiotemporal parameters obtained from satellite-based data provided information about individuals’ presence in the community. Most studies combined GPS with other measuring tools (self-report diaries/questionnaires, qualitative interviews) to capture a broader description of community participation. Conclusions GPS and GIS are viable approaches for advancing research as they provide unique information about community participation not easily captured by other methods. The combination of available methods comprehensively address the physical and social dimensions of this construct. IMPLICATIONS FOR REHABILITATION Global positioning system (GPS) and geographic information system (GIS) technology allows direct and real-time quantification of patterns of individuals’ community mobility. The geographic area where individuals participate in daily living activities complements information from self-report diaries/questionnaires. Combining GPS technology with self-report diaries/questionnaires allows a broader description of individuals’ community participation, addressing respectively both its physical and social dimensions. Knowledge of individuals’ access to and involvement in community locations/situations may help therapists design interventions to improve community participation.

Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data.

Monitoring invasive plant species is a crucial task to assess their presence in affected ecosystems. However, it is a laborious and complex task as it requires vast surface areas, with difficult access, to be surveyed. Remotely sensed data can be a great contribution to such operations, especially for clearly visible and predominant species. In the scope of this study, water hyacinth (Eichhornia crassipes) was monitored in the Lower Mondego region (Portugal). For this purpose, Sentinel-2 satellite data were explored enabling us to follow spatial patterns in three water channels from 2018 to 2021. By applying a straightforward and effective methodology, it was possible to estimate areas that could contain water hyacinth and to obtain the total surface area occupied by this invasive species. The normalized difference vegetation index (NDVI) was used for this purpose. It was verified that the occupation of this invasive species over the study area exponentially increases from May to October. However, this increase was not verified in 2021, which could be a consequence of the adopted mitigation measures. To provide the results of this study, the methodology was applied through a semi-automatic geographic information system (GIS) application. This tool enables researchers and ecologists to apply the same approach in monitoring water hyacinth or any other invasive plant species in similar or different contexts. This methodology proved to be more effective than machine learning approaches when applied to multispectral data acquired with an unmanned aerial vehicle. In fact, a global accuracy greater than 97% was achieved using the NDVI-based approach, versus 93% when using the machine learning approach (above 93%).

Морфометрический анализ агроландшафтов переходной зоны южных черноземов и темно-каштановых почв Волгоградской области

This article presents the results of geoinformation cameral mapping and morphometric analysis of one of the types of agrolandscape - arable land in the Mikhailovsky district of the Volgograd region. The relevance of the study is due to the lack of statistical data regarding the areas and configuration of individual fields, as well as the rapid development of areas of application of geographic information systems and remote sensing data in agriculture. For mapping, the method of visual expert interpretation of multispectral Earth remote sensing data of high (Sentinel satellite images for 2021) and medium (Landsat satellite images for 1986) spatial resolution was used. For morphometric analysis, a digital elevation model “SRTM” with a height resolution of 10 m was used. All operations with raster and vector materials were carried out in the geoinformation environment “QGIS”, statistical processing of the obtained data was carried out in “MS Excel”. 2,248 fields were mapped, which are arable land and fallows, with a total area of 229.8 thousand hectares. It was revealed that the predominant spatial orientation of the fields is the southwestern and northeastern direction, the smallest area is occupied by fields with a southeastern orientation. The largest field area is located in areas with surface slopes up to 1.5°. The maximum slope is 4°. Based on the results of the work, maps-schemes of the exposition and the steepness of the slopes of the fields in the Mikhailovsky district were compiled. The used mapping method based on the interpretation of high-resolution satellite images showed high accuracy. The data obtained can be used as a basis for more detailed studies of arable land in the Mikhailovsky district, as well as for planning land reclamation measures.

Identification of paddy field conversion rate in relation to food security in Aceh Besar District, Aceh Province, Indonesia

Productive paddy fields are an important asset in supporting food security. However, due to the increasing competition for land use with sectors outside agriculture, it has triggered the pace of land conversion without control and has the potential to threaten the stability of food supply itself. This study aims to identify the rate of paddy field conversion that occurs in Aceh Besar Regency, Aceh Province, Indonesia. This research was conducted through a spatial approach using the application of Geographic Information Systems (GIS) to identify forms of spatial change based on land use. The method used is a Supervised Classification. The results of the study showed that the highest rate of paddy field conversion occurred in the period 2010-2020 reaching 0.947%/year. This is not comparable to the ability of the substitution efforts made in the previous ten years (2000-2010) which was 0.88 %/year. The form of land conversion that occurred was dominated by the non-agricultural sector, especially residential needs reaching 61.89%. This has the opportunity to reduce rice production by 1,051.38 / year. Therefore, efforts to control the rate of land conversion are absolutely necessary to ensure sustainable food security.

9th International Conference on Geographical Information Systems Theory, Applications and Management

9th International Conference on Geographical Information Systems Theory, Applications and Management

Application of GIS for the Control of Major Accident Hazards

The presented study discusses the importance of GIS in assessing the fire and explosion modelling involved in major accident hazards. The simulation of toxic dispersions in the atmosphere is especially dangerous for densely inhabited areas, or close to the sensitive environment, which are called the target systems. Therefore, mathematical-physical predictions from hazard modelling programs such as Areal Locations of Hazardous Atmospheres (ALOHA) have to be combined with a Geographic Information System (GIS) such as ArcGIS. This multidisciplinary approach allows experts to couple the consequences and the target systems in one representation of major accident hazards. This unique combination of the two programs allows us to calculate the consequences to human life for a real accident scenario case study. Description of methodical approach and four accident scenarios are investigated based on ALOHAs models for carbon monoxide release combined with ArcGIS for Liberty Ostrava a.s. as a case study. Keywords: ALOHA; ArcGIS; Carbon monoxide; Major accident hazards; Modelling of release and dispersion.

Delineation of Wadi Haseeb Watershed from Digital Elevation Model Using HEC-Geo-HMS in ArcGIS, East Nile, Sudan

Traditionally, topographic maps are usually employed for drainage analysis. However, channel network extraction and watershed delineation from topographic maps require time and expertise in cartography. The application of Geometrics (Remote Sensing (RS) and Geographic Information Systems (GIS) and land topographic information) is necessary for drainage network delineation. In the present study, the main objective is to delineate the drainage network and basin area of the wadi Haseeb watershed from the Digital Elevation Model (DEM) using the HEC-GeoHMS tool. The DEM of 10 m resolution is processed to define the primary natural flow routes and catchment. The hydrological analysis is performed for fill, flow direction, flow accumulation, stream definition, and finally, catchment delineation using the HEC-GeoHMS tool. Results show that the watershed was divided into four sub-basins (W240 - W270 - W410 - W420), the length of the catchment is 40 km, the watershed area was approximately 170 ha and the watershed slope was 0.9.

KAJIAN STATUS MUTU AIR, INVENTARISASI SUMBER PENCEMAR DAN ALTERNATIF STRATEGI PENGENDALIAN PENCEMARAN SUNGAI BARABAI KABUPATEN HULU SUNGAI TENGAH

Barabai River is one of the rivers in Hulu Sungai Tengah District which is widely used by the surrounding community for household, agricultural and industrial activities. Community activities around the Barabai River certainly have an impact on the decline in river water quality because the waste produced generally goes directly to other environments without prior processing. This study aims to analyze the water quality status of the Barabai River, take an inventory of the potential sources of water pollution in the Barabai River and formulate alternative strategies for controlling water pollution in the Barabai River. The research was located on the Barabai River along ± 43.2 km which started from Tanjung Village, Hantakan District, towards Jaranih Village, Pandawan Subdistrict, to Tabat Village, Labuan Amas Utara Subdistrict. The water quality status of the Barabai River was calculated using secondary data from the 2017-2020 river water quality monitoring results sourced from the Department of Environment and Transportation of Hulu Sungai Tengah District using the pollutant index method. Potential sources of pollutants in the Barabai River were inventoried based on domestic, industrial and agricultural activities around the monitoring point for water quality sampling by collecting secondary data and field survey results, then a map of the distribution of each water pollutant source was described using the Geographic Information System (GIS) application. Alternative policy strategies for controlling pollution of the Barabai River were analyzed using the SWOT method based on the Regulation of the State Minister of the Environment Number 01 of 2010 concerning the management of water pollution control. The results showed that in 2018 the water quality status of the Barabai River met the quality standards while in 2017, 2019 and 2020 the status of the water quality was lightly polluted with parameters that did not meet the quality standards, namely Total suspended solid (TSS), Dissolved Oxygen (DO), Biological Oxygen Demand (BOD) and Fecal Coli. Potential sources of pollutants in the Barabai River consisted of domestic pollutant sources originating from residential activities in the Barabai River area, potential sources of Pollution Point Source (Institutions) originating from ± 21 types of businesses /activities located in Hulu Sungai Tengah District and potential sources of Non-Point pollutants Source coming from agricultural activities of rice fields and plantation. Alternative policy strategies for controlling the pollution of the Barabai River can be done by adding water quality monitoring points in industrial areas, improving river water quality, raising public awareness of waste management through sustainable and targeted socialization, tightening supervision of compliance with business people, expanding coordination inter-agency, controlling waste entering rivers, determining the capacity of water pollutant loads, constructing a wastewater treatment plants (IPAL), carry out an inventory and identification of water pollutant sources based on the Regulation of the Minister of the Environment Number 01 of 2010, and stipulate a Regional Regulation on licensing for the disposal of wastewater to water sources.

ОЦЕНКА ЕСТЕСТВЕННЫХ ЛУГОПАСТБИЩНЫХ УГОДИЙ, ОПРЕДЕЛЯЕМЫХ С ПОМОЩЬЮ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ И ПРИМЕНЕНИЯ ГИС В ВЫСОКОГОРНЫХ РАЙОНАХ ВОСТОЧНОЙ ТУРЦИИ

The aim of this study was to assess the natural grassland regions for livestock production in the highlands of Eastern Turkey by utilizing Remote Sensing (RS) techniques and Geographic Information Systems (GIS) applications. It was concluded that the natural grasslands make up 2/3 of the whole study area in Kars province. However, in terms of plant cover density this only accounts for 1/3rd of the entire area. In other words, just 181 275.7 hectares out of a total of 638 393.5 hectares of grassland are in a better state for cattle grazing. Finally, digital maps of the greatest quality grasslands were produced.

Attitudes of Teachers and Students towards the Possibilities of GIS Implementation in Secondary Schools in Croatia

The geographic information system (GIS) is, at the global level, recognized as one of the best ICTs for implementation in the subject of geography. The application of GIS in the Republic of Croatia (RH) lags behind developed countries. The main objective of this research was to examine the attitudes of secondary school students and geography teachers regarding the introduction of GIS in the educational system process. In the period from 3 October 2021 to 27 January 2022, a survey questionnaire was conducted in 30 secondary schools in the RH on a sample of 611 students and 96 teachers. The results have showed that both teachers and students have a positive attitude toward the introduction of GIS for the purpose of teaching geography. More than 80% of teachers believe that GIS is not sufficiently represented in the high school and geography curricula which is recognized as one of the most important factors which limit GIS implementation. A majority (77%) of teachers are not using GIS on any teaching level, which is not surprising since both surveyed teachers and students have poor knowledge of GIS, although teachers rated their knowledge a little higher. Teachers perceive students’ interest in GIS exactly as students express it; predominantly indifferent. The most important factors limiting the implementation of GIS are recognized as: a lack of necessary GIS software and licenses; not knowing how to use GIS; and an insufficient number of teaching units dedicated to GIS in the geography curricula. An equal percentage of both teachers and students believe that there are prerequisites for GIS implementation in their schools. One of the basic prerequisites for GIS implementation is that education authorities need to “see” GIS as an important part of geography and include it more in school curricula. In almost all countries where GIS has been implemented in schools, difficulties in its implementation have been documented.

Identification of City Hotspots by Analyzing Telecom Call Detail Records Using Complex Network Modeling

Many interesting observations are made from the analysis of Telecom bigdata called call detail records (CDR) on various aspects of city dynamics. CDR is a low-cost, real-time, and clean (no human error) data with abundant availability to the state administrations. However, due to its massive size, the processing of raw CDR is not feasible most of the time. Graph-theoretic approaches to network analysis are enriched with efficient algorithms and heuristics for modeling and analyzing various generic problems. Once a CDR dataset is modeled as a communication network with aggregation of raw data spatially and temporally, network analysis tools yield significant results. A heightened communication activity (call/SMS/Internet) originating from a location/area to many other areas signify the importance of that originating area. In this paper, we have modeled the telecommunication data of two Italian cities (Milan and Trento) as a weighted network. The modeled network from raw CDR becomes very dense due to the large number of edges. We have pre-processed and thresholded the available CDR bigdata to generate many smaller-sized sparse networks by removing less significant edges. Different well-known node-centrality metrics (weighted degree, weighted k-shell) and our proposed modified edge weight degree neighborhood (EwDN) method are applied on the modeled network to identify the top-k most important nodes representing the hotspot locations in the city. We also use five days data and compare changes in the hotspot patterns. Finally, we validate our findings (hotspot locations) with ground truth from other sources using projected geo-location tagging on QGIS (An open source Geographic Information System application tool). To overcome the availability of limited ground truth, we use the standard Susceptible–Infectious–Recovered (SIR) model as a benchmark and compare various methods using Kendall’s rank correlation. Results indicate that the proposed network modeling, size reduction by edge-weight threshold, and application of complex network approaches including the proposed modified EwDN method identify important places in almost real-time with much less computational overhead.

Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system

Vulnerability Assessment (VA) has numerous management implications, particularly for locating the most vulnerable areas affected by land cover degradation. This study aims to assess and compare the relationship between socioeconomic vulnerability (SEV) and land cover indices (LCIs) in summer rangelands (Natanz county) and winter rangelands (Aran-V-Bidgol county) in Isfahan Province, Iran. To assess the socioeconomic vulnerability index (SEVI), a survey was conducted. Based on the SEVI, summer and winter rangelands were classified and mapped using a combination of fuzzy TOPSIS model and geographic information system (GIS) techniques. Field research was conducted to estimate LCIs, including plant cover, plant yield, litter (dead biomass), sand and gravel, bare soil, and forage production. Finally, the correlations between SEVI and LCIs were verified, and the SEV of winter rangelands and summer rangelands was examined. Results showed the rangelands of Chah Robat, Bidhend, and Tar were the most vulnerable summer rangelands, while the rangelands of Chah Zard, Cheshmeh Sefid, and Kandeh Matin were the most vulnerable winter rangelands. Findings further revealed more LCIs, including total ground cover, the yield of shrubs, and total yield had a significant relationship with SEVI in summer rangelands compared to winter rangelands (yield of annual forbs and total yield). Moreover, there was a significant difference between SEVI, determined by the fuzzy TOPSIS model, in summer and winter rangelands. It can be concluded that while the fuzzy TOPSIS model and GIS can be used to gain a better understanding of VA, the type of rangeland has an impact on how well these techniques can assess the SEV of rangelands.

Improved IDW Interpolation Application Using 3D Search Neighborhoods: Borehole Data-Based Seismic Liquefaction Hazard Assessment and Mapping

Traditional inverse distance weighting (IDW) interpolation is a process employed to estimate unknown values based on neighborhoods in 2D space. Proposed in this study is an improved IDW interpolation method that uses 3D search neighborhoods for effective interpolation on vertically connected observation data, such as water level, depth, and altitude. Borehole data are the data collected by subsurface boring activities and exhibit heterogeneous spatial distribution as they are densely populated near civil engineering or construction sites. In addition, they are 3D spatial data that show different subsurface characteristics by depth. The subsurface characteristics observed as such are used as core data in spatial modeling in fields, such as geology modeling, estimation of groundwater table distribution, global warming assessment, and seismic liquefaction assessment, among others. Therefore, this study proposed a seismic liquefaction assessment and mapping workflow using an improved IDW application by combining geographic information system (GIS) (ArcGIS (Esri, Redlands, CA, USA)), NURBS-based 3D CAD system (Rhino/Grasshopper (Robert McNeel & Associates, Seattle, WA, USA)), and numerical analysis system (MATLAB (MathWorks, Natick, MA, USA)). The 3D neighborhood search was conducted by the B-rep-based 3D topology analysis, and the mapping was done under the 2.5D environment by combining the voxel layer, DEM, and aerial images. The experiment was performed by collecting data in Songpa-gu, Seoul, which has the highest population density among the OECD countries. The results of the experiment showed between 7 and 105 areas with liquefaction potentials according to the search distance and the method of the approach. Finally, this study improved users’ accessibility to interpolation results by producing a 3D web app that used REST API based on OGC I3S Standards. Such an approach can be applied effectively in spatial modeling that uses 3D observation data, and in the future, it can contribute to the expansion of 3D GIS application.

PREDIKSI KERAWANAN BANJIR LAHAN SAWAH BERBASIS CURAH HUJAN AKTUAL DAN KERENTANAN PANGAN DI WILAYAH SUB DAS BILA PROVINSI SULAWESI SELATAN

Bila Watershed (DAS) is the water source provider at the agricultural activities in several districts in South Sulawesi: Enrekang (upstream), Sidenrang Rappang (middle) and Wajo (downstream). For last five years, every years there are floods, Sidrap and Wajo districts, and affect the level of food security. This study aims to predict the pattern of changes in rainfall and flood events for the next 10 years. Predictions of rainfall patterns and flood events are used as the basic for mapping the level of flood vulnerability of paddy fields and food vulnerability.Climate change analysis uses the Global Change model (GCM) with a short-term (10 years) baseline average monthly rainfall simulation. Precipitation data for the last 10 years from the nearest climate station and land biophysics (slope, soil physical (permeability), drainage density, land use). The data were analyzed spatially to obtain class data for each parameter and validated through a field survey. The data for each parameter is overlaid with data and maps using a geographic information system (ArcGIS) application. The results of the overlay map form the projection of flood susceptibility and food vulnerability in the Bila watershed area. The results of the analysis show that the monthly rainfall volume >300 mm/month occurs in April - July and rainfall <200 mm occurs in August - March. The level of flood vulnerability in the high and very high categories is 31.28% (53,252.09 ha). The potential for flood vulnerability of paddy fields is high to very high, 96.71% (38,069.06 ha) of the total paddy fields in the Bila watershed area (39,363.55 ha).Enrekang distric has a very high level of food security with a ratio demand is 414 kg/capita/ year with paddy producton is 9,108,99 tons/year, compared to Sidrap and Wajo districts with a low level of food security

PEMETAAN TEMPAT PEMBUANGAN SAMPAH SEMENTARA DAN RUANG TERBUKA HIJAU DI KECAMATAN DEPOK DAN MLATI KABUPATEN SLEMAN MENGGUNAKAN APLIKASI SIG

One of the environmental problems in Indonesia is population growth. The effect of increasing population is an increase in the volume of waste. One way to deal with waste is to provide TPS. One of the areas in Indonesia that needs to add TPS facilities is in Sleman Regency (Depok District and Mlati District). The purpose of this research is to find out the population of Depok and Mlati Sub-districts in the next 10 years, to find out the mapping of the location of the Green Open Space area in Depok and Mlati Districts., to know the mapping and determination of TPS3R in Depok and Mlati Districts using a Geographic Information System (GIS) application. The research phase started from determining the sample location of TPS with parameters of distance to built-up land, distance to highway and distance to river. Mapping the suitability of TPS locations using a GIS application. Recommendations for the type of TPS that are suitable for the mapping location using a GIS application. The results of this study are the population of the next 10 years, Depok District is 130,981 people, Mlati District is 100,500 people. Location of Green Open Space in Depok District: Jl. Raya Solo-Yogyakarta Km. 10, Candok. The location of the green open space area in Mlati District: Jl. KRT Pringgodinigrat No. 22, 24, 27, Jl. Sidomulyo, Jl. Cebongan No. 15, Gemawang. The recommended location for the construction of TPS in Sleman Regency (Depok Subdistrict and Mlati District) based on an analysis using Geographic Information Systems are; a) Depok District : Jl. Gambuh 54-34, Mg. Muria, Jl. Wijaya Kusuma, Jl. Citra Kedaton No. 19, Jl. Mataram Sewers, Jl. Melon Mundusaren 12-137, Jl. Mathematics 30-32, Jl. Durmo, Manukan, Jl. Affandi, Gejayan, Jl. Waru, Gejayan, Kayen, Jl. Banyu, Manggung, b) Kecamatan Mlati : Jl. Purbaya, Warak Kidul, Jl. Cebongan 1, Jontungan, Jl. Ketingan, Jl. District No.96, Konden, Sumberadi, Rajeg Wetan, Nambungan, RT.07/RW.31, Cebongan Kidul, Jl. Bajang Reef.

BIM-GIS integration approach for high-fidelity wind hazard modeling at the community-level

Wind hazards often result in significant damage to the built environment cascading into impacts on the socio-economic systems within a community. The increasing frequency and intensity of hurricane hazards highlight the importance of developing high-resolution wind hazard models to better predict the consequences. Although previous studies have investigated hurricane-induced wind hazards in terms of hazard modeling and the subsequent vulnerability of buildings and infrastructure, these studies have not yet investigated applications of computational fluid dynamics (CFD) at the community-level. Therefore, in this study, a novel approach was developed to generate CFD models at the community-level by integrating building information modeling (BIM) and geographical information systems (GIS) to automate the generation of a high-resolution 3-D community model to be used as an input for a digital wind tunnel. This was done by harnessing the current advances in BIM and GIS applications and maximizing their capabilities by developing an algorithm that automates the 3-D geometry generation of communities with a detailed discretization of each building within the community. The 3-D community model was developed using the GIS shapefile of the buildings’ footprint and a parametric BIM model that uses a number of building parameters such as footprint dimensions, roof shape, foundation type, and the number of stories. Then, an algorithm was developed to automate the creation of the BIM model for each building within the community based on the prescribed building’s characteristics. The developed community model was used as an input for a numerical wind tunnel that uses CFD to account for the detailed wind pressure at each building after including the impacts of aerodynamics interference at the community-level. This novel BIM-GIS integration approach provides, for the first time, the next generation of high-resolution community-level CFD wind hazard modeling which aims to shift the current practice of wind hazard simulation at the community-level.

Review of the Use of GIS in Public Health and Food Safety

The use of geographic information systems (GIS) is increasingly common in the scientific domains of public health and food safety. In this paper, we present the results of three analyses that we conducted to explore the application of GIS in these domains. The analysis includes a case study to test the feasibility of providing GIS services through an application developed with open-source tools. The first section presents the results from a scoping review looking at the current GIS practices in the public health and food safety domains as found in scientific literature. The second section shares the findings from a visual exploration of the use of GIS by EU agencies and supra-national bodies in the public health and food safety domains. The third section presents the current scenario of GIS used at the European Food Safety Agency (EFSA), which was tracked with an internal survey circulated among EFSA's scientific community. Alongside the three analyses, we look at current practices in terms of 1) fields in which GIS is used, 2) the infrastructure used for GIS, 3) GIS data, and 4) the methodology used for data collection, processing and analysis. The results show that GIS is used in multiple fields related to public health and food safety, such as epidemiology, plant health, animal health, and agriculture. We conclude that despite facing challenges regarding data quality issues, legal implications, and technical limitations, GIS has great potential given its relevance to the current environmental and health crises: such a holistic approach is in line with the One Health concept supported by EFSA and different European and international institutions. Moreover, GIS facilitates transition from control to prevention thanks to its capacity to develop spatial models that move from description to prediction. Finally, GIS facilitates communication, which guides better policy making.

Implementation of Geographic Information System for Tourist Locations and Lodging Services in Lhokseumawe City Based on Android

The advancement of information technology is now increasingly widespread and very rapidly growing so that it can help people to enjoy the various conveniences that have been produced by this technology. One aspect of technology currently developing rapidly is mobile technology on smartphone devices (smartphones). This android-based geographic information system application is one of the results of these technological developments, which have the benefits and uses that are needed in this day and age. So with the development of the world of technology, people prefer the way of convenience and efficiency, for example, by utilizing the sophistication of smartphones. Implementing the Geographic Information System (GIS) for tourism and lodging services in Lhokseumawe aims to build tourism applications and lodging services in Lhokseumawe based on Android and implement Google services. Maps Application Programming Interface (API) to facilitate tourists in obtaining information on mapping the location of tourist attractions and lodging, routes, and tourist support facilities in Lhokseumawe City. The method used is a waterfall process model. Implementing the Lhokseumawe Tourism Application and lodging services using Javascript programming with Android Studio, MySQL database, and maps sourced from the Google Maps API. The result is an Android-based Lhokseumawe City Tourism and lodging service application that helps make it easier for tourists to obtain information about tourist attractions, lodging, and routes from their current location to the desired tourist and lodging locations in Lhokseumawe City with the help of the Global Positioning System (GPS). Tourist information and lodging services are entirely related only to data entered into the database server. The results of this application display a list and location of tourist and lodging services as well as the shortest route to the nearest tourist or inn to the user's location point. It is also hoped that this system can be developed to produce a better system than the previous one.

Geographic Information System Mapping of Plantation

Perusahaan Daerah Perkebunan (PDP) Kahyangan is a Regional Owned Enterprise in Jember Regency which was formed to realize the prosperity of the community. In Regional Regulation Number 2 of 2012-chapter 3 clauses 2, the government can manage regional finances by exploring sources of Regional Original Income, one of which is from the PDP. In addition, the purpose of the establishment of the PDP is as a means of developing the economy in the context of regional development by increasing productivity from all aspects to increase regional income. The main commodities are coffee and rubber, cloves, Mahoni, and Sengon wood are supporting commodities. Based on interviews PDP's profit contribution to Jember's income has continued to decline in recent years due to the absence of good management of its potential. So, this research will manage a system that can assist in obtaining information about the distribution of plantation land commodities in Jember, as well as mapping existing commodities by Geographic Information System (GIS). The method for developing GIS uses a Design Sprint. The output of this method prototypes and will implement in the GIS application.