def METHOD_NAME(Community, Address, Mission, MissionType,City,CommunityType, Website):
    feature = {'type': 'Feature', 'properties': {'CommunityPartner': '', 'Address': '','Projects': '',
                                                 'College Name':'','Mission Type':'', 'Project Name': '',
                                                 'Legislative District Number': '', 'Number of projects': '',
                                                 'Income': '', 'City':'','County': '', 'Mission Area': '',
                                                 'CommunityType': '', 'Campus Partner': '',
                                                 'Academic Year': '', 'Website': ''},
               'geometry': {'type': 'Point', 'coordinates': []}
               }
    print("USING GEOCODE NOW ON ADDRESS "+Address+" UNDER home\Partner_GEOJSON.py")
    geocode_result = gmaps.geocode(Address)  # get the coordinates
    if (geocode_result[0]):
        latitude = geocode_result[0]['geometry']['location']['lat']
        longitude = geocode_result[0]['geometry']['location']['lng']
        feature['geometry']['coordinates'] = [longitude, latitude]
        coord = Point([longitude, latitude])
        for i in range(len(district)):  # iterate through a list of district polygons
            property = district[i]
            polygon = shape(property['geometry'])  # get the polygons
            if polygon.contains(coord):  # check if a partner is in a polygon
                feature['properties']['Legislative District Number'] = property["properties"]["id"]  # assign the district number to a partner
        for m in range(len(county)):  # iterate through the County Geojson
            properties2 = county[m]
            polygon = shape(properties2['geometry'])  # get the polygon
            if polygon.contains(coord):  # check if the partner in question belongs to a polygon
                feature['properties']['County'] = properties2['properties']['NAME']
                feature['properties']['Income'] = properties2['properties']['Income']
        projectlist = 0
    yearlist = []
    campuslist = []
    projectList =[]
    collegeList = []
    partners = dfProjects['community_partner']
    years = dfProjects['academic_year']
    campuses =dfProjects['campus_partner']
    projects = dfProjects['project_name']
    colleges =dfProjects['college_name']
    count = 0
    for n in range(len(partners)):
        if (partners[n] == Community):
            if (years[n] not in yearlist):
                yearlist.append(years[n])
            if (campuses[n] not in campuslist):
                campuslist.append(campuses[n])
            if (projects[n] not in projectList):
                projectList.append(projects[n])
            if (colleges[ n] not in collegeList):
                collegeList.append(colleges[n])
            count += 1
    feature['properties']['Number of projects'] = count
    feature['properties']['Campus Partner'] = campuslist
    feature['properties']['Academic Year'] = yearlist
    feature['properties']['Projects'] = projectList
    feature['properties']['College Name'] = collegeList
    feature['properties']['CommunityPartner'] = Community
    feature['properties']['CommunityType'] = CommunityType
    feature['properties']['Website'] = Website
    feature['properties']['Mission Area'] = Mission
    feature['properties']['Mission Type'] = MissionType
    feature['properties']['City'] = City
    collection['features'].append(feature)
    return feature