热门钓点与热门鱼获、热门钓具推荐分析数据

一、适用对象： 旅游平台、垂钓APP、渔具电商、文旅管理部门。 二、核心价值： 1.旅游平台资源优化 条件：接入月度热门钓点数据（钓点船舶占用率、钓客实际容量占比、综合热度分、热度等级）。 效果：动态推荐分流路线，降低拥堵风险，提升游客体验，减少安全风险。 外部复用：平台可付费订阅数据接口，优化钓点推荐算法。 2.渔具商精准营销 条件：获取各钓点"热门鱼获推荐"及"热门钓具推荐"数据。 效果：针对区域鱼种匹配钓具组合（如鲈鱼区主推假饵），提升区域销售转化率。 外部复用：数据授权渔具品牌定向投放广告，降低获客成本。 3.政府监管决策支持 条件：接入钓点船舶占用率和钓客实际容量占比的数据。 效果：快速调配安防资源，开发潜力区域（如增设临时泊位），平衡生态承载力。 外部复用：向管理部门提供数据订阅服务，辅助渔业资源可持续规划。1.热门钓点算法规则（统计方法：加权综合评分法） 对每个钓点按月分组计算，计算公式： 钓客实际容量占比=本月实际钓客人数/可容纳人数×100% 钓点船舶占用率=本月实际船舶数（艘）/可容纳船舶数（艘）×100% 综合热度分= (钓客实际容量占比×0.8)+(钓点船舶占用率×0.2) 热度等级判定规则：若综合热度分＜60，热度等级判定为三级；若60≤综合热度分＜80，热度等级判定为二级；若综合热度分≥80，热度等级判定为一级。 2. 热门鱼获推荐算法规则（统计方法：词频统计+关联分析） 数据预处理：清洗"每月鱼获"字段（文本），拆分为独立鱼种（如："鲈鱼/条石雕" → ["鲈鱼","条石雕"]）。 分析方法：月度高频鱼种：统计每个钓点中每种鱼的出现频次，取TOP 3，生成热门鱼获推荐。 3. 热门钓具推荐算法规则（统计方法：文本挖掘+频次排序） 数据预处理：从"热门钓具推荐"字段拆分钓具类型（如："钓鱼王/龙王恨" → ["钓鱼王","龙王恨"]）。 关联分析：统计每个钓点钓具词频，取TOP 2作为热门钓具推荐。### 1. Target Applicants Travel platforms, fishing apps, fishing gear e-commerce platforms, and cultural and tourism management departments. ### 2. Core Values #### 2.1 Resource Optimization for Travel Platforms **Prerequisites**: Access to monthly popular fishing spot data, including fishing spot vessel occupancy rate, actual angler capacity occupancy rate, comprehensive heat score, and heat level. **Effects**: Dynamically recommend and divert travel routes to reduce congestion risks, enhance visitor experience, and mitigate safety risks. **External Reuse**: Platforms can subscribe to data APIs for a fee to optimize fishing spot recommendation algorithms. #### 2.2 Precision Marketing for Fishing Gear Merchants **Prerequisites**: Obtain data on "recommended popular catches" and "recommended popular fishing gear" for each fishing spot. **Effects**: Match fishing gear combinations according to regional fish species (e.g., prioritize lures in bass fishing areas) to improve regional sales conversion rates. **External Reuse**: Authorize data to fishing gear brands for targeted advertising, reducing customer acquisition costs. #### 2.3 Decision Support for Government Supervision **Prerequisites**: Access to data on fishing spot vessel occupancy rate and actual angler capacity occupancy rate. **Effects**: Rapidly allocate security resources, develop potential areas (e.g., add temporary berths), and balance ecological carrying capacity. **External Reuse**: Provide data subscription services to management departments to support sustainable planning of fishery resources. --- ### 3. Algorithm Rules #### 3.1 Algorithm Rules for Popular Fishing Spots (Statistical Method: Weighted Comprehensive Scoring Method) Calculations are performed for each fishing spot by monthly grouping, with the following formulas: - Actual angler capacity occupancy rate = (Number of actual anglers this month / Maximum allowable number of anglers) × 100% - Fishing spot vessel occupancy rate = (Number of actual vessels this month / Maximum allowable number of vessels) × 100% - Comprehensive heat score = (Actual angler capacity occupancy rate × 0.8) + (Fishing spot vessel occupancy rate × 0.2) **Heat Level Judgement Rules**: - If comprehensive heat score < 60: Heat level is Level 3 - If 60 ≤ comprehensive heat score < 80: Heat level is Level 2 - If comprehensive heat score ≥ 80: Heat level is Level 1 #### 3.2 Algorithm Rules for Recommended Popular Catches (Statistical Method: Word Frequency Statistics + Association Analysis) **Data Preprocessing**: Clean the "monthly catch" text field and split it into independent fish species (e.g., "bass/stone catfish" → ["bass", "stone catfish"]). **Analysis Method**: Monthly high-frequency fish species: Count the occurrence frequency of each fish species at each fishing spot, take the top 3 to generate recommended popular catches. #### 3.3 Algorithm Rules for Recommended Popular Fishing Gear (Statistical Method: Text Mining + Frequency Ranking) **Data Preprocessing**: Split the "recommended popular fishing gear" field into fishing gear types (e.g., "Diaowang/Longwanghen" → ["Diaowang", "Longwanghen"]). **Association Analysis**: Count the word frequency of fishing gear at each fishing spot, take the top 2 as recommended popular fishing gear.

搜集汇总

背景与挑战

背景概述

该数据集提供每月更新的热门钓点分析数据，包括钓点容量使用率、热度评分以及基于词频统计的热门鱼获和钓具推荐，适用于旅游、渔具营销和政府监管场景，旨在优化资源配置和提升用户体验。