ArcGIS Analysis Research Articles

Living by the land, gazing at the sea: Hominin occupation of near-coastal landscapes on the western periphery of the Red Sea

The paper examines recently reported Acheulean and Middle Stone Age archaeological occurrences in near-coastal plains on the western periphery of the Red Sea (Sudanese coast) with the aim of illuminating the role of the region in hominin survival, and possibly as an out-of-Africa dispersal conduit. Using a Viewshed analysis in ArcGIS, the study sought to assess the extent to which the seashore may have been visible from the archaeology-bearing localities during conditions similar to the present or those more humid interglacial phases than today. The purpose of the Viewshed analysis is to gauge the range of habitat-options hominins had on the western periphery of the Red Sea. The result demonstrates that the seashore would have been visible from most of the archaeological sites. Thus, it is reasonable to surmise that the coastal margin may have remained an integral part of the space exploited by the hominins that inhabited the nearby inland plains. However, the observation cannot be regarded as attesting all the areas deemed visible were necessarily exploited by hominins. Overall, the archaeological evidence from the study area broadens our understanding of the range of environments hominins occupied in Africa prior to and during their expansion to Eurasia. A proximate goal of the paper is to drive archaeological research attention to near-coastal landscapes, as such places may provide a potent vantage point to assess hominin engagement with the seashore. I conclude with an appeal to the paleoanthropological community to expand field-centered research to the vast understudied regions of Africa so as to capture hominin experiences across diverse ecosystems of the continent. Only then will we be able to discern hominin biogeographic range at different periods and theorize about the ecological drivers of our species' success.

Association of environmental factors with breast cancer incidence among African American women in Memphis, Tennessee

ABSTRACT African American (AA) women confront distinct disparities in breast cancer rates, and the impact of their living environment is unclear. This study aimed to examine the association between breast cancer incidence and environmental factors among a high-risk female population. The study recruited 355 AA women ages 20–88 in Memphis from 2016–2018. Their addresses were geocoded and linked to environmental and socioeconomic data. The final dataset contained 50 cases and 157 controls. Associations between breast cancer incidence and social and environmental factors were examined using logistic regression. Spatial analysis in ArcGIS showed that cases clustered in Southwest Memphis. Proximity to traffic and Superfund sites had odds ratios of 1.636 (95% CI: 25 1.046, 2.560) and 12.262 (95% CI: 1.814, 82.864), respectively. Mediating analyses further revealed that environmental inequities contributed significantly to breast cancer inequalities. In conclusion, the built environment plays a role in breast cancer onset among AA females.

Prevalence, distribution and factors associated with modern contraceptive use among women of reproductive age in Uganda: evidence from UDHS 2016

BackgroundUnintended pregnancies pose significant health risks, particularly in sub-Saharan Africa, where millions of cases are recorded annually, disproportionately affecting adolescent women. Utilization of modern contraceptives is crucial in managing fertility and reducing unintended pregnancies, abortions, and associated health complications. This study aimed to assess the prevalence, distribution and factors associated with modern contraceptives utilization among women aged 15–49 in Uganda.MethodsThe study used secondary data from the 2016 Uganda Demographic and Health Survey (UDHS). The study sample comprise of 9,235 women aged 15–49 who used any method to prevent pregnancy in the five years preceding 2016 UDHS survey. The outcome variable for this study is utilization of modern contraceptives. Univariate, bivariate, and multilevel binary logistic regression was used to examine the relationship between individual and contextual factors on the modern contraceptive use among women aged 15–49 in Uganda. Choropleth mapping and network analysis in ArcGIS 10.8.2 was used to visualize spatial distribution of modern contraceptive use and measure community access to health facilities respectively.ResultsThe prevalence of modern contraceptive use was 53.19% (n = 4,919) in Uganda, with significant spatial variation by district. Higher prevalence (23.18%) was observed among women aged 20–29 compared to adolescents (4.1%). Only 21.9% of married women reported using modern contraceptives. At the individual-level, the factors that positively influenced use of modern contraceptives included: women’s marital status, wealth index and level of education while sex of the household head, ever terminated a pregnancy and religion negatively affected the use of modern contraceptives. At community-level, community access to health facilities was found to have negative influence on the use of modern contraceptives among women. In communities where women frequently visited health facilities in the 12 months preceding the survey, the use of modern contraceptives reduced by 3.9%. Accessibility analysis revealed challenges, with women in northeastern districts (rural districts) facing travel times exceeding four hours to reach health facilities.ConclusionUtilization of modern contraceptives are essential for promoting women’s health and well-being, particularly concerning maternal healthcare. This study highlights disparities in modern contraceptive use across age groups and the districts, emphasizing the need for targeted interventions. Policymakers and stakeholders must prioritize strategies that promote utilization of modern contraceptives and maternal healthcare services to address these disparities effectively. Such efforts are crucial for improving reproductive health outcomes and reducing the burden of unintended pregnancies and related complications in Uganda.

Effective or useless? Assessing the impact of park entrance addition policy on green space services from the 15-min city perspective

This study investigates an innovative approach to enhance urban green space access by adding new park entrances rather than expanding the green space itself, aiming for sustainable urban development. Taking Shenzhen as a case study, we first developed a universal framework to identify potential locations for new entrances and used network analysis in ArcGIS to quantify green service improvements. Then, under the 15-min city concept, the impact on green accessibility and equity was assessed using the two-step floating catchment area (2SFCA) method and Gini coefficient analysis. Results indicate that (1) new entrances enabled 21.10% of residents to access parks with an average reduced travel distance of 214.71 m, and increased the population within a 15-min walk to parks by 7.34%. (2) This strategy proved cost-effective, serving 27.66% of residents at 1/38 the cost of creating new green spaces. (3) Furthermore, the accessible green area within a 15-min walking or cycling increased by 0.18 km2 and 1.42 km2, respectively, without affecting green equity. Our findings support the policy of adding park entrances as a feasible and efficient urban strategy, supporting Sustainable Development Goals (SDGs) 3 and 11, and the policy can be implemented across almost cities.

Identifying emerging hot spots of road traffic injury severity using spatiotemporal methods: longitudinal analyses on major roads in Ghana from 2005 to 2020

BackgroundAlthough road traffic injuries and deaths have decreased globally, there is substantial national and sub-national heterogeneity, particularly in low- and middle-income countries (LMICs). Ghana is one of few countries in Africa collecting comprehensive, spatially detailed data on motor vehicle collisions (MVCs). This data is a critical step towards improving roadway safety, as accurate and reliable information is essential for devising targeted countermeasures.MethodsHere, we analyze 16 years of police-report data using emerging hot spot analysis in ArcGIS to identify hot spots with trends of increasing injury severity (a weighted composite measure of MVCs, minor injuries, severe injuries, and deaths), and counts of injuries, severe injuries, and deaths along major roads in urban and rural areas of Ghana.ResultsWe find injury severity index sums and minor injury counts are significantly decreasing over time in Ghana while severe injury and death counts are not, indicating the latter should be the focus for road safety efforts. We identify new, consecutive, intensifying, and persistent hot spots on 2.65% of urban roads and 4.37% of rural roads. Hot spots are intensifying in terms of severity and frequency on major roads in rural areas.ConclusionsA few key road sections, particularly in rural areas, show elevated levels of road traffic injury severity, warranting targeted interventions. Our method for evaluating spatiotemporal trends in MVC, road traffic injuries, and deaths in a LMIC includes sufficient detail for replication and adaptation in other countries, which is useful for targeting countermeasures and tracking progress.

DEVELOPMENT OF TIME-EFFICIENT WASTE COLLECTION ROUTES FOR THE UP DILIMAN CAMPUS USING GIS-BASED NETWORK ANALYSIS

Abstract. Accumulation of waste poses significant environmental and public health concerns. Currently, the Campus Maintenance Office (CMO) of the University of the Philippines Diliman (UPD) facilitates all large-scale waste management procedures through contractual means with the Department of Sanitation and Cleanup Works of Quezon City (DSQC), being guided by CMO upon entry into UPD. The study aims to create time-efficient routes and maps for the current conditions of UPD and CMO through GIS-based network analyses. The datasets utilized in this study include the current UPD traffic scheme, the managed CMO waste collection points, impedance factors like speed bumps, and digitized and estimated traffic data obtained through combined sources from field measurements and online materials. The workflows for the network analysis in ArcGIS involve the preparation of the road network layer, calibration of the network considering the observed collection routes, and the generation of time-efficient routes with appropriately split collection points for the north and south sectors of UPD. The study's new routes found slightly different collection times than the observed collection routes but were able to accommodate more stops that were not observed during fieldwork in comparison.

Penataan ruang Kota Jakarta berbasis net zero emission: dampak emisi pembangkit listrik

Background: Air pollution has become an issue of great concern in almost the last year, especially in DKI Jakarta. Post-pandemic economic growth has encouraged high levels of community activity. High levels of community activity encourage high energy use. Methods: This research uses a qualitative approach with a literature study method which includes journals, academic publications and publications by institutions. Findings: Through this article we can find out what sources contribute to urban air pollution as well as what the indicators are and how to determine air quality. High levels of air pollution greatly affect biodiversity and ecosystems in urban areas. Conclusion: Project climate change using WRF to determine the impact and influence on the ecosystem. In the case of pollution by PLTGU in North Jakarta, using multi-buffer ring analysis in arc GIS, the range of impacts of PLTGU pollution can be seen. The area of ​​North Jakarta is 146.7 km2 and only has parks and open space of 0.277 km2. Short-term and long-term solutions need to be implemented to minimize pollution and maintain the sustainability of urban ecosystems.

Demarcation of suitable site for solar photovoltaic power plant installation in Bangladesh using geospatial techniques

The major goal of this research is to adopt analytical hierarchy process (AHP) based geospatial technique to select suitable zone for the solar photovoltaic (PV) power plants. Nine thematic layers altogether—slope, global horizontal irradiation (GHI), relative humidity, direct normal irradiation (DNI), elevation, distance from major roads, distance from protected areas, rainfall, and land use/land cover (LULC)—are combined through overlay analysis in ArcGIS to create the final map of suitability for the placement of solar photovoltaic (PV) power plants in Bangladesh. This map has been classified into five categories namely, restricted zone, less suitable zone, moderate suitable zone, good suitable zone, and excellent suitable zone. These categories are covered by 7.28%, 16.61%, 28.51%, 27.77%, 21.83% land of total area in Bangladesh respectively. The findings of this research have been presented that ‘the excellent suitable’ and ‘good suitable’ areas for the construction of solar power plants are in the western and northwestern part (Rajshahi, Pabna, Sirajganj, Natore, Naogaon, Chapainawabganj, Bogura, Faridpur, Jessore, Jehenaidha, Magura, Kushtia, Choudanga, Meherpur) of the study area which contain a high value of global horizontal irradiation, direct normal irradiation, elevation and low value of slope, rainfall, temperature, relative humidity. Besides the restricted and less suitable zone for installing solar photovoltaic (PV) power plants indicates a high value of rainfall, slope, temperature, relative humidity and low value of global horizontal irradiation, direct normal irradiation, and elevation. Bangladesh's currently operational solar plants were taken into consideration for this study's validation purposes. The proposed framework may potentially be used in different locales on a national and worldwide scale. This study offers a consistent GIS process for the accurate, inexpensive implementation of a solar energy plan to achieve environmentally friendly goals.

Mapping of Groundwater Potential Zones in the Kuzhithuraiyar Sub Basin of Kodayar River, Kanniyakumari District, Tamilnadu: Using Analytic Hierarchy Process (AHP) and GIS


 
 
 Groundwater plays a very important role for all living beings. It is decisive to have a scientific understanding of groundwater management since, with careful use and replenishment, groundwater may help solve issues. The distribution of groundwater tables, slope, land-form, drainage pattern, lithology, topography, geological structure, fracturing density, opening and connectivity of fractures, secondary porosity, and landuse landcover all affect the occurrence and efficiency of groundwater in an aquifer system. An essential tool for assessing, tracking and protecting groundwater resources is the integration of geospatial techniques such as Remote Sensing and Geographic Information System for the identification of groundwater potential zones. This study aims to find the groundwater potential zones using Analytical Hierarchy Process (AHP) and managing the resources by creating different thematic layers such as rainfall, geology, geomorphology, drainage density, soil, slope, lineament and landuse landcover (LULC) of the Kuzhithuraiyar sub basin of the Kodayar river in Tamilnadu using the application of geospatial technologies. The thematic maps for all the thematic layers have been prepared using tools such as Interpolation, contour lines, Classification in ArcGIS 10.8. Theme weight and class rank were assigned to different thematic layers in weighed overlay analysis. The results were validated through field work and groundwater potential map was created. The groundwater potential zonation mapping was done by the overlay analysis in ArcGIS 10.8 software. The obtained map was classified into four categories namely very high groundwater potential zone, high groundwater potential zone, medium groundwater potential zone and low groundwater potential zone. The North Eastern part of the basin is considered as low groundwater potential zone while the Southern portion has high groundwater potentiality. The low groundwater potential zone covers an area of 10.58 sq.km and high groundwater potential zone covers an area of about 388.37sq.km.This study will be helpful for useful groundwater management for different tenacities.
 
 

Extracting of prospective groundwater potential zones using remote sensing data, GIS, and multi-criteria decision-making approach in the Sub-Himalayan Dooars region of West Bengal, India

Groundwater is one of the fundamental sources of fresh water. Currently, the unequal distribution of groundwater poses a significant environmental crisis, leading to scarcity in certain regions and affecting the livelihood of living organisms worldwide. The present study introduces the Sub-Himalayan foothills Dooars, a highly populated and agriculturally based area. To delineate the groundwater potentiality eight different effective parameters have been employed such as slope, geomorphology, soil, LULC, lineament, rainfall, hydrogeology, and drainage density. For the process and development of these eight thematic layers, geographic information systems and satellite images (Landsat 8) have been used to give the normalized weight and rank value in each thematic layer and their sub-criteria. MCDA-AHP-based model is used for overlay analysis to delineate groundwater potentiality (GWPZ). After overlay analysis in ArcGIS 10.2.2 final groundwater potentiality map is further grouped into four potentiality zones, i.e., very high, high, moderate, and low potential zones. A very high potential zone encompasses 22.45 sq. km. in the southern portion of the selected study region. The high potential zone encompasses 1613.32 sq. km in the southeastern part, the moderate zone is covered by 1063.84 sq.km, and the 71.03 sq.km (2.56% area of the region) area is covered by the low potential zone. The available well data from CGWB have been utilized to assess the potential of groundwater in the district, ensuring originality and authentic validation. It is found that there is a correlation between the observed potentiality zone and existing well data. With the growing population in the Sub-Himalayan Dooars region, there has been a corresponding rise in the demand for water. Hence, this research would assist the authorities and policymakers in effectively managing the groundwater resources in the district.

Preference-based jogging route selection in downtown Tokyo

ABSTRACT Jogging has become a popular urban outdoor recreational activity because it is inexpensive and easy. Although there are positive responses to leisure-route planning from many regions, the routes with features preferred by joggers are not commonly considered in urban planning. This article explores and evaluates methods for determining optimal urban jogging routes while considering joggers’ preferences. This study combines information about road width, green space, riverbank scenery, and various points of interest with jogging heat map data and uses a decision tree analysis to study joggers’ preferences. Next, routes with high potential considering three different patterns of points of interest and road width are selected using the vehicle routing problem analysis in ArcGIS. This method for preference-based route selection can be used to identify which links in urban road networks are attractive to runners and provide policymakers with useful information for designing built environments.

Optimization of new fire department location using an improved GIS algorithm for firefighters travel time estimation

PurposeThe rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the optimal locations for new fire stations, to improve service quality and maximize service coverage within the specified time.Design/methodology/approachThis paper proposes a method for precisely calculating travel time that integrates delay time caused by traffic lights, intersections and congestion. The study highlights the importance of precise calculation of travel time in order to provide a more accurate understanding of the service area covered by the fire stations. The proposed method utilizes network analysis in ArcGIS, the analytical hierarchy process (AHP) and simple additive weighting (SAW) to accurately calculate travel time and to identify the best locations for new fire stations. The identification of new site was based on service safety, service quality, service costs and demographic factors and applied to the Sleman district in Indonesia.FindingsThe results showed that the total area covered by old and new fire stations decreased from 61% to 31.8% of the study area when the adjusted default speed scenario was implemented.Practical implicationsThe results indicated that the default speed scenario could provide misleading information about the service area, while the adjusted default speed scenario improved service quality and maximized service coverage.Originality/valueThe proposed method provides decision-makers with an effective tool to make informed decisions on optimal locations for new fire stations and thus enhance emergency response and public safety.

Landslide Risk Assessment and Preventive Measures of Selected Locations in the Rangamati District, Bangladesh

Detecting landslides and unstable slopes is one of the most crucial responsibilities in the emergency response to resist landslides. Having a wide range of hilly terrines in the southeast region of Bangladesh, the risk of landslide disasters is becoming a critical issue. In Chittagong, especially in the Rangamati hill tracts, there have been several losses of life and property due to landslides in the recent past. This research attempts to evaluate the landslide risk in Rangamati hill tracts and provide suggestions to mitigate the landslide hazard by modifying the hill slope. Soil specimens from different hill locations were collected from three areas in the Rangamati district. Several laboratory experiments were conducted to determine the soil properties, and 2D slope stability analysis using Bishop's simplified method was used to evaluate the landslide potential. Different preventative measures, for example, soil nailing, anchors, and cutting slopes like stairs, are also implemented to mitigate the landslide potential by increasing the slope stability was assessed and suggested. Weighted Overlay Model (W.O.M.) was implemented for the Landslide Susceptibility Analysis in ArcGIS to confirm the potential hazard in the study areas, and hazard maps were suggested based on the slope stability results and current slopes in Rangamati. The slope stability analysis of the three spots showed that spot 3 is the most vulnerable spot, which had a low factor of safety value. Even with different mitigation techniques, spot 3 showed a lower factor of safety value, which was verified with the Weighted Overlay Method. It was also seen that among the mitigation techniques, anchoring the slopes is the most effective one that drastically increases the factor of safety value.

FLOOD HAZARD MODELLING USING HYDRAULIC SIMULATION MODEL AND SATELLITE IMAGES: A CASE STUDY OF CHAJ DOAB, PUNJAB, PAKISTAN

The main objective of the study is to determine the highly risked areas and to estimate flood extend through different return periods. HecGeo-RAS is used along with Hydrologic Engineering Center River Analysis System (HEC-RAS) to build a model which have analyzed the flow of water. The river and floodplain geometry were obtained by SRTM-DEM and flood mapping is finalized by the vector layer analysis in ARC GIS. Frequency analysis for the period 1986-2014 (29 years), instantaneous discharge data performed by Gumbel's, and LP3. Results depicts that District Mandibahudin always flooded on both sides by Jehlum and Chenab rivers. An interpretation of findings explicitly revealed that the 50-year return cycle flood at Trimmu (5299 m 3 s-1) would inundate 500 percent more area than the natural surge. Urban areas are also vulnerable to flooding such as Mandibahudin, which were also evident in the July / August 2014 flooding.

Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion

The objective of this study was to discern the spatial and temporal patterns of areas in Nanning that are susceptible to waterlogging, particularly during various phases of urban expansion. Furthermore, this study presents a proposal outlining strategies aimed at preventing and controlling waterlogging. These strategies are based on the integration of the concepts of sponge city and resilient city construction. This study employed remote sensing (RS) and geographic information system (GIS) techniques to provide technical support. The supervised classification method and normalized difference index method were utilized to compare and extract impervious surfaces in Nanning from 2013 to 2020. The present investigation utilized the acquired impervious surfaces to compute the fractal dimension as a weighting factor, incorporating a digital elevation model (DEM) for the purpose of conducting a hydrological analysis in ArcGIS. Based on the findings of the study, several conclusions can be derived. The following conclusions can be drawn from the study: (1) The fractal dimension of Nanning varied over the study period, with values of 1.32, 1.41, and 1.58 in 2013, 2017, and 2020, respectively. The distribution of impervious surfaces showed a decreasing trend from the city center to the periphery. Urban planning and construction activities have significantly influenced the distribution of impervious surfaces, resulting in a progressively more complex and unstable structure. (2) From 2013 to 2020, the urban expansion fractal dimension increased from 1.32 to 1.58, indicating a decrease in the stability of impervious surfaces. The areas with higher concentrations of impervious surfaces coincided with frequent waterlogging-prone areas. Furthermore, the distribution of waterlogging-prone points transformed from a concentrated pattern to a scattered one. (3) In terms of waterlogging prevention and control strategies, the old urban areas are recommended to be transformed into sponge city projects, and the new development areas are planned, designed and implemented with the concept of “resilience”.

Visual assessment of historic landmarks based on GIS and survey: a study of view and viewing of Tiger Hill in Suzhou, China

ABSTRACT The protection and balance of visibility and the visual interface of urban historic landmarks has been widely regarded in urban development and expansion. Taking Tiger Hill in Suzhou, China as an example, this study evaluates its visual characteristic from two perspectives: view and viewing. From the “view” perspective, changes in visibility as a viewing object are compared by cumulative viewshed analysis in ArcGIS. Additionally, a visual preference questionnaire is applied to determine the threshold (1.2 km) at which Tiger Hill becomes an object of attention. Based on the urban green space system planning map of Suzhou, the study selects green spaces that offer suitable viewing conditions. From the “viewing” perspective, Tiger Hill is considered a viewpoint for climbing and viewing, and a 3D city model is used to compare the changes in the visual interface of the mountains in the south and west of Suzhou from the top of Tiger Hill. Lastly, based on the “Two-thirds Rule”, the study calculates the maximum allowable building height within the field of vision and compares it with the existing building heights. The research provides a reference for the evaluation and improvement of the visual quality of urban historic landmarks.

The impact of greenspace proximity on stress levels and travel behavior among residents in Pasig city, Philippines during the COVID-19 pandemic

This study investigated the impact of greenspace proximity on stress levels and active travel behavior in post-lockdown Pasig City, Philippines. 307 residents took part in an online survey, sharing insights on mobility changes, park usage, and their perception of park and neighborhood. Pasig City's greenspaces were classified as Nature parks, Linear parks, Town squares, and Community parks, based on their characteristics and usage. Proximity to these parks was measured via Network analysis in ArcGIS, and data underwent ordered regression analysis with interaction effects for different population groups. Results indicated that proximity to Nature and Community parks correlated with manageable stress levels, while residing near Linear parks was marginally associated with increased walking and cycling. Elderly and unemployed residents near parks experienced greater stress relief and physical activity. The study emphasized residents' recognition of parks' role in promoting relaxation and serenity, highlighting a shift in active travel behavior. Additionally, it underscored the potential health benefits of urban greenspaces, emphasizing the need to consider citizens' subjective experiences when designing and maintaining them. Overall, the study suggests that greenspaces can play a crucial role in fostering well-being and active lifestyles, particularly during stressful and uncertain times.

Dampak pembangunan Yogyakarta international airport di daerah rawan bencana tsunami dengan dukungan sistem informasi geografis

The construction of a new airport in tsunami disaster prone area in Kulon Progo Regency has been impacting in land use and land value. The changes in land use will impact on changing tsunami hazard model. This research aims to analyze the impact of a new airport on physical changes and land value changes in Temon District with geographic information system. The research begins with inventory of spatial data from various agencies. Multi-temporal image interpretation is resulted in 2015 and 2020 land use maps. Physical changes and tsunami models analysis were carried out using spatial analysis in ArcGIS. The making land value change maps using 2015 and 2021 land value zone maps. The analysis effect of new airports and tsunami hazard using multiple linear regression. Data validation was carried out by sampling techniques and field surveys. The results of spatial analysis is physical growth from 2015-2020 covering an area 418,019 m² and loss of a built area 149,261 m². The changes in the tsunami model from 2015-2020 increased by 118,740 m². The changes in land value from 2015-2021 is increasing the average value of Rp. 1,317,088/ meter² or 652%. The results of multiple linear regression analysis and community interviews concluded that the existence of an airport is very influential on increasing land value compared to the effect of tsunami vulnerability.

The Role of Geographical Information System (GIS) in Analysis of Public Health Accessibility in Rwanda. Case Study: Nyagatare District

Access to public health facilities is an important component of an overall health system and has direct impact on the burden of diseases that affects many countries in developing countries. With the help of ARCGIS 10.6, we identified different factors in Nyagatare district that prevent the population from accessing public health facilities such as the availability and geographical location of health centers. This analysis based on the literature review to understand what other authors wrote about the concept of health facilities. Spatial pattern of health distribution was examined using average nearest neighbor and near analysis in ArcGIS 10.6 was used to determine the distance from population to health center within Nyagatare district. Travel time per patient was calculated using ArcGIS software based on the mode of transport such as driving and walking. The result shows that the most populated areas such as urban areas in Nyagatare have more access to public health facilities than the rural areas. This analysis can assist decision makers in Nyagatare district in planning for public health services.

Research on environmental planning method based on neural network and artificial intelligence technology

In order to improve the practical effect of environmental planning methods, this paper combines neural network artificial intelligence technology to study the environmental planning methods. Based on the idea of multi-layer DEM's stratum 3D modeling, this paper uses the spatial interpolation analysis in ArcGIS to fit the surface of the environmental data to obtain the surface layer of the stratum interface, and combine the geographic information system to construct the system frame structure. Moreover, based on neural network and artificial intelligence technology, this paper uses the prediction algorithm based on the comprehensive index and the BP neural network model to process and calculate the sample data, and conduct experimental analysis on the system of this paper through experimental research. The research results show that the environmental planning method based on neural network and artificial intelligence technology proposed in this paper has good results and can be applied to current environmental planning for auxiliary planning.