NO.1 

Interactive Mapping

This project involved generating an interactive web map to visualize the locations of selected companies operating in Oyarifa, Ghana. Using GIS tools and Folium (a Python mapping library), company data, including names, coordinates, and basic descriptions, were geocoded and plotted on an interactive map. The final map allows users to explore company locations, click on markers for additional details, and zoom or pan for spatial context. 

NO.2 

Proximity Analysis of Population within 1.5 km of Shopping Centres in Helsinki

This analysis aimed to estimate the number of people living within a 1.5 km radius of major shopping centers in Helsinki, namely Itis, Forum, Jumbo, REDI, Sello, and Tripla. The process involved several key geoprocessing tasks. First, geocoding was used to obtain the spatial locations of the shopping centers. The data were then projected to a suitable coordinate reference system (CRS) to ensure accurate distance measurements. Buffer zones of 1.5 km were created around each shopping center, and a spatial join was performed with population data to identify and quantify the number of residents within each buffer area. The results provide insights into population distribution around key commercial hubs in the city.

NO.3

Livability Index Map 

This analysis evaluates the livability of communities within the Accra Metropolitan Assembly by integrating key spatial factors: housing rent, crime incidence, and vegetation cover. Using GIS-based spatial analysis and weighted overlay techniques, each factor is standardized and assigned a relative weight based on its influence on quality of life. High rent and crime rates are considered negative contributors, while dense vegetation is viewed as a positive indicator of environmental quality and well-being. The resulting composite livability map highlights spatial disparities and helps identify areas that offer a balanced and desirable living environment within the city.

NO.4

Temperature Analysis

This project analyzed temperature time series with Python libraries Pandas and Matplotlib, showing a 7% increase in average temperatures in Ghana in 2024 compared to temperatures in 2023. Data for this analysis was obtained from Google Earth Engine's API. 

 NO.5

Model  Building
This project involved building a geoprocessing model in ArcMap to analyze the spatial distribution, accessibility, and service coverage of the central maternity home in the Ashanti Region of Ghana. The model integrates spatial data of healthcare facility locations and adopts spatial statistical analysis to assess the maternity home central to the region.

No.6

Community Profiling as a Story Map 

This project was a community profiling of Adentan, Ghana, with ArcGIS Online. As part of a team-based project, we conducted a community profiling exercise that involved collecting location-based data on key community features using Survey123. After field data collection, we performed data cleaning and validation within the Survey123 platform to ensure accuracy and consistency. The final data was then used to create an interactive Story Map, effectively visualizing the spatial and social characteristics of the community and providing a user-friendly tool for sharing insights with stakeholders.

NO.7

Regional Price Disparities
This regional analysis examines changes in food prices (cereal & tuber) across selected markets in four regions of Ghana—Ashanti, Greater Accra, Volta, and Northern—for the years 2012 and 2022. The geoprocessing workflow involved reading a CSV dataset containing food prices across various markets in Ghana, selecting relevant columns for the analysis, and casting price values from strings to numeric types. The data was then filtered to include only the four target regions. Using Matplotlib, a comparative bar graph was generated to visualize regional price changes over the decade. The analysis showed that all four regions experienced significant price increases over the 10-year period. The Northern, Ashanti, and Volta Regions had the lowest prices in 2012 but saw a substantial rise by 2022, nearly doubling to reach levels. Greater Accra, on the other hand, recorded the highest average prices in both 2012 and 2022, with prices rising from around ₵150 in 2012 to ₵280+ in 2022 — indicating sharp inflation in the region.

No.8

Travel Time Accessibility Analysis to Itis Shopping Centre in Helsinki

This analysis visualized travel times to the Itis shopping center from all districts within the Helsinki metropolitan area for two travel modes: public transport and private car. Travel times were classified into five-minute intervals to assess accessibility more effectively. The workflow involved several geoprocessing steps: reading the district boundary shapefile and the travel time dataset, selecting relevant columns from the travel time GeoDataFrame, and performing a spatial join to combine the travel time data with district boundaries. The mapclassify library was used to categorize travel times into five-minute intervals for both travel modes. The results were visualized using matplotlib to produce clear, comparative maps of accessibility via public and private transportation. The analysis revealed that individuals who travel to the Itis shopping center by private car reach their destination faster than those who use public transportation.

NO.9

Contour generation in QGIS

NO.10

Landscape Assessment
This project involves a detailed landscape character analysis of Ghana, with a focus on biophysical attributes. This includes an analysis and assessment of precipitation-Evapotranspiration index and Land Cover datasets. The timeframe for which data would be obtained is from (2021-01-01) to (2022- 01 - 01). Over a span of one year, raster data for analysis and visualization were obtained from Google's Earth Engine via the python earth engine library. For visualization, geemap was used for a visual representation of the biophysical attributes.