TU Food Trucks on Main Campus

1. Title & Overview Dataset Name: Tu Food Trucks on Main Campus Summary: Spatial data set of TU Food Truck locations on Temple University Main campus. Geographic Coverage: Temple University Main Campus, Philadelphia, PA Time Period: Created May 8th 2018; last updated June 6th 2019. 2. Purpose & Use Intended Use: To visualize TU Food Truck locations for mapping, analysis, and operational reference. Limitations: No documented constraints, scale issues, or known data caveats; users should verify suitability for high‑precision applications. Update Frequency: Updated on an as‑needed basis. Route: https://route.temple.edu/?id=1166#!ce/27656?ct/26864,35347,94339,94341,94342,29505?s/ 3. Data Source & Methodology Source(s): Temple University Facilities Information Resource & Management (FIRM) Collection Method: Not formally documented. Processing Steps: Key transformations, cleaning steps, and calculations are not fully documented. 4. Variable Breakdown (Attribute Table Fields) - FID (Object ID): Object Identifier. Example: "1" - FID_ (Long): Object Identifier. Example: N/A - OID_ (Long): Object Identifier Example: N/A - Name (Text): Name of the food truck. Example: "Honey" - Snippet (Text): Unknown. Example: N/A - PopupInfo (Text): Popup information visible on ARCGIS Online. Example: "Cloud is a go-to truck for freshly brewed coffee and bagels. <br>Accepts credit." - HasLabel (Long): Unknown. Example: "-1" - LabelID (Long): Unknown. Example: "0" - Photo (Text): Link to a photo of the food truck. Example: "https://sites.temple.edu/cbimages/files/2018/04/Fruit-Salad.jpg" - ID (Text): Object Identifier. Example: "L3" - LOC_DES (Text): Group object identifier, grouping trucks in similar locations. Example: "L3" - LOCATION (Text): Object Identifier. Example: "C-3" - ID_1 (Text): Object Identifier. Example: "L3" - LASTNAME (Text): Last name of food truck owner. Example: "SONG" - FIRSTNAME (Text): First name of food truck owner. Example: "NANCY" - TRADENAME (Text): Name of the food truck. Example: "HALAL GYRO EXPRESS" - TAXACCTNO (Double): Tax account #. Example: "112312" - *DATE (Date): Date of objects creation. Example: "4/3/2017" - LOC_DESCRI (Text): Description of location. Example: "WESTERN SIDE OF 13TH ST FROM A PT 30' NORTH OF THE NORTHERN SIDE OF NORRIS FOR A DISTANCE OF 60' - UP TO THREE 20' SIDEWALK VENDORS" - CAL (Double): Philadelphia Commercial Activity License #. Example: "490235" - FOODLICENS (Double): Food License #. Example: "501604" - NEIGHBORHO (Double): Unknown. Example: "711917" - F3281OR3279 (Double): Unknown. Example: "501606" - HEALTHID (Text): Unknown. Example: NA - VEHICLEPLA (Text): License Plate #. Example "XFN1231" - REGISTERED (Text): Name of person on vehicle registration. Example: " CHONG S SONG" - F17 (Text): Notes. Example: "NEEDS NEW AWARD LETTER WITH CORRECT LOCATION" - GlobalID (Global ID): Global Identifier. Example: "{2E85C71C-219E-4870-AF72-96B86DE17F67}" - Shape (Geometry): Spatial feature representing food trucks. Example: "Point ZM" 5. Data Quality & Accuracy Positional Accuracy: Approximately 5–10 meters from the true on‑ground location; not survey‑grade. Attribute Accuracy: High; believed to accurately reflect food trucks at time of creation. Completeness: Some missing or null values in (ID) field. No missing values in core fields (Name or shape). 6. Credits & Attribution Data Owner: Temple University Facilities Information Resource & Management (FIRM) Citation: Temple University Facilities Information Resource & Management (FIRM)1. 标题与概述 数据集名称：坦普尔大学校园主校区餐车（Tu Food Trucks on Main Campus） 数据集概述：该数据集为坦普尔大学（Temple University）主校区内餐车点位的空间数据集。 地理覆盖范围：宾夕法尼亚州费城坦普尔大学主校区 时间范围：2018年5月8日创建，2019年6月6日最后一次更新。 2. 用途与使用 预期用途：用于可视化坦普尔大学主校区餐车点位，以支撑地图制作、数据分析及运营参考。 局限性：未记录任何约束条件、尺度问题或已知数据瑕疵；用户需自行验证该数据集是否适用于高精度应用场景。 更新频率：按需更新。 数据访问路径：https://route.temple.edu/?id=1166#!ce/27656?ct/26864,35347,94339,94341,94342,29505?s/ 3. 数据来源与编制方法 数据来源：坦普尔大学设施信息资源与管理部（Temple University Facilities Information Resource & Management, FIRM） 数据采集方式：未正式记录。 处理流程：关键转换、清洗及计算步骤未完全记录。 4. 字段明细（属性表字段） - FID（对象ID）：对象标识符，示例："1" - FID_（长整型）：对象标识符，示例：无可用数据 - OID_（长整型）：对象标识符，示例：无可用数据 - Name（文本型）：餐车名称，示例："Honey" - Snippet（文本型）：字段含义未知，示例：无可用数据 - PopupInfo（文本型）：ArcGIS Online（ArcGIS在线平台）上显示的弹窗信息，示例："Cloud是提供现磨咖啡与贝果的热门餐车。<br>支持信用卡支付。" - HasLabel（长整型）：字段含义未知，示例："-1" - LabelID（长整型）：字段含义未知，示例："0" - Photo（文本型）：餐车照片链接，示例："https://sites.temple.edu/cbimages/files/2018/04/Fruit-Salad.jpg" - ID（文本型）：对象标识符，示例："L3" - LOC_DES（文本型）：点位分组标识符，用于将位于相似点位的餐车进行归类，示例："L3" - LOCATION（文本型）：对象标识符，示例："C-3" - ID_1（文本型）：对象标识符，示例："L3" - LASTNAME（文本型）：餐车车主姓氏，示例："SONG" - FIRSTNAME（文本型）：餐车车主名字，示例："NANCY" - TRADENAME（文本型）：餐车商业名称，示例："HALAL GYRO EXPRESS" - TAXACCTNO（双精度型）：税务账号，示例："112312" - *DATE（日期型）：对象创建日期，示例："4/3/2017" - LOC_DESCRI（文本型）：点位描述，示例："13街西侧，从诺里斯街北侧以北30英尺处起，延伸60英尺范围内，最多可容纳3台20英尺长的人行道摊贩" - CAL（双精度型）：费城商业活动许可证编号，示例："490235" - FOODLICENS（双精度型）：食品经营许可证编号，示例："501604" - NEIGHBORHO（双精度型）：字段含义未知，示例："711917" - F3281OR3279（双精度型）：字段含义未知，示例："501606" - HEALTHID（文本型）：字段含义未知，示例：无可用数据 - VEHICLEPLA（文本型）：车辆牌照编号，示例："XFN1231" - REGISTERED（文本型）：车辆登记所有人姓名，示例："CHONG S SONG" - F17（文本型）：备注信息，示例："需更新包含正确点位的许可函" - GlobalID（全局唯一标识符）：全局标识符，示例："{2E85C71C-219E-4870-AF72-96B86DE17F67}" - Shape（几何字段）：表示餐车点位的空间要素，示例："Point ZM" 5. 数据质量与精度 位置精度：与实际地面点位的误差约为5-10米，未达到测量级精度。 属性精度：属性数据精度较高，在数据集创建时可准确反映当时的餐车情况。 完整性：ID字段存在部分缺失或空值；核心字段（Name与Shape）无缺失值。 6. 致谢与归属 数据所有者：坦普尔大学设施信息资源与管理部（Temple University Facilities Information Resource & Management, FIRM） 引用格式：坦普尔大学设施信息资源与管理部（Temple University Facilities Information Resource & Management, FIRM）