语言支持：英语
文件大小：145.50 MB
环境与气候预测AI是一款革命性的离线平台，专为环境分析师、专注的学生和寻求精准数据驱动洞见的研究者设计。该应用赋能用户无需网络连接、复杂编程技能或依赖外部API，即可无缝分析、可视化并预测超过20项关键环境参数。
应用整合全球环境数据集、先进AI驱动分析和科学验证方法论，通过直观友好的界面提供强大的预测建模能力。其推动环境智能民主化进程，助力制定明智决策并深化对可持续发展挑战的理解。
核心特性
– 全方位环境分析
– 可分析超过20项环境核心指标，涵盖
基础指标
温度、臭氧浓度、污水排放量、废物生成量
资源管理
回收效率、填埋场利用率、水质指数
人口与环境
人口密度
大气状况
空气质量指数、大气压强、降水量、湿度、风速
排放与能源
碳排放量、太阳辐射强度、城市热岛强度、噪音水平
生态指标
NDVI（植被指数）、紫外线指数
自定义参数
用户定义环境指标
预载全球城市数据集
预置安曼、维也纳、东京、内罗毕、伦敦、纽约、开罗、孟买、墨西哥城、开普敦、巴黎、柏林、悉尼、上海、洛杉矶、迪拜、莫斯科、圣保罗、多伦多、首尔等主要城市数据，为跨区域对比环境研究提供基准。
交互可视化
动态呈现工具包括：
– 折线图
– 面积图
– 柱状图
– 散点图
三维表面模型
助力深度解析环境演变趋势，支撑学术研究与政策制定。
AI预测引擎
集成五大先进模型：
– 线性回归（趋势分析与基准预测）
– 随机森林（捕捉非线性复杂模式）
– 多项式回归（拟合曲线环境趋势）
– ARIMA（时序依赖性预测模型）
– 神经网络（深度学习环境变量的深层关联）
高效数据管理
流畅导入CSV数据进行分析，并导出专业排版的HTML报告，支持协作与展示需求。
精准设计，实践导向
本工具适用于学术研究、城市规划、可持续发展分析及气候政策制定，专注提供高精度可视化与预测能力。
这不仅是一个应用程序——更是面向真实世界环境分析与可持续发展决策的科学工具。
系统要求
Windows 10 17763.0 或更高版本（64位）
Languages: English
File Size: 145.50 MB
Environment and Climate Prediction AI is a groundbreaking offline platform designed for environmental analysts, dedicated students, and researchers seeking precise data-driven insights. This application empowers users to seamlessly analyze, visualize, and forecast over 20 critical environmental parameters, all without requiring internet connectivity, complex coding skills, or reliance on external APIs.
By integrating global environmental datasets, advanced AI-powered analytics, and scientifically validated methodologies, this application delivers robust predictive modeling through an intuitive and user-friendly interface. It democratizes access to environmental intelligence, enabling informed decision-making and deeper understanding of sustainability challenges.
Key 资源特色
– Comprehensive Environmental Analysis
– Analyze over 20 essential environmental parameters, including
Core Metrics
Temperature, ozone levels, wastewater volume, waste generation
Resource Management
Recycling efficiency, landfill usage, water quality index
Demographics and Environment
Population density
Atmospheric Conditions
Air quality index, atmospheric pressure, precipitation, humidity, wind speed
Emissions and Energy
Carbon emissions, solar radiation, urban heat intensity, noise levels
Ecological Indicators
NDVI (vegetation index), UV index
Custom Parameter
User-defined environmental metric
Preloaded Global City Datasets
Begin analysis instantly with preloaded datasets covering major global cities, including Amman, Vienna, Tokyo, Nairobi, London, New York, Cairo, Mumbai, Mexico City, Cape Town, Paris, Berlin, Sydney, Shanghai, Los Angeles, Dubai, Moscow, Sao Paulo, Toronto, and Seoul. These datasets provide a foundation for comparative environmental studies across diverse urban regions.
Interactive Visualizations
Transform complex data into actionable insights using dynamic visualizations such as
– Line charts
– Area charts
– Bar graphs
– Scatter plots
Three-dimensional surface models
These tools facilitate detailed exploration of environmental trends, supporting both academic research and policy decision-making.
AI-Powered Forecasting
Harness advanced predictive capabilities using five sophisticated AI-driven models
– Linear regression for trend analysis and baseline predictions
– Random forest to capture complex, nonlinear patterns
– Polynomial regression for modeling curved environmental trends
– ARIMA for time-series forecasting with historical dependencies
– Neural networks for deep-learning insights into highly intricate environmental relationships
Seamless Data Management
Effortlessly import CSV datasets for independent analysis and export professionally formatted HTML reports for documentation, collaboration, and presentation.
Designed for Precision, Built for Impact
Whether for academic research, urban planning, sustainability studies, or climate policy, Environment and Climate Prediction AI delivers high-quality data visualization, forecasting, and analytics with a focus on usability and accuracy.
This is more than an application—it is a scientific tool built for real-world environmental insights and sustainability solutions.
System Requirements
Windows 10 version 17763.0 or higher (64-bit)
